Health physics jobs in United Kingdom

Meta builds technologies that help people connect, find communities, and grow businesses. Its apps include Facebook, Messenger, Instagram, and WhatsApp. Meta is also developing immersive augmented and virtual reality experiences as part of the next evolution in social technology. *Instagram и Facebook принадлежат компании Meta Platforms Inc., деятельность которой признана экстремистской и запрещена на территории РФ • Lead and drive a complex product area, defining success, prioritizing problems, and identifying strategies in the wider organizational and company context; adapt strategies as learnings and context change Build consensus on prioritizing and realizing significant opportunities, and determine when to start or stop investment Evaluate when AI is the optimal solution, articulating trade-offs, risks, and second-order effects Translate AI capabilities into product visions that create differentiated value Develop and champion AI-native strategies, including comprehensive evaluations and data strategies for continuous improvement Work with cross-functional teams to define product vision and roadmap, drive progress against goals and milestones, resolve blockers, improve team health, and increase team effectiveness Identify opportunities and resolve dependencies by creating shared strategies across adjacent product areas Reimagine workflows using AI tools responsibly to increase team velocity and capability Foster rapid experimentation and learning across the organization Scale responsible AI practices, workflows, and artifacts across product teams Mentor and coach PMs and cross-functional team members on AI-native practices Influence strategy and progress across partner functions, improving collaboration and resolving divergent goals Orchestrate complex execution across workstreams using AI automation and strategic human oversight while maintaining quality and accountability Communicate product strategy and progress clearly to stakeholders Use AI-enabled tools to build products and independently create artifacts to prototype, validate, or ship Interpret research and state-of-the-art learnings to shape product strategy and apply logical reasoning Assess system and architecture trade-offs and their impact on user experience and business outcomes Lead technical discussions with engineering partners Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization Design experiments, interpret results using AI to accelerate analysis, and drive product decisions Define and run evaluations to interpret model outputs, adjust execution based on learnings, and establish evaluation as a product practice across teams, • 8+ Years of relevant industry experience, including at least 3 years in Product Management, • Bachelor’s degree or equivalent; a STEM subject is ideal but not essential, including Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, or Applied Sciences, • Experience leading cross-functional product teams across a full product line, including defining product mission and strategy, requirements, coordinating resources from other groups, and driving milestones and goals, • Experience managing a product through its full lifecycle, • Proven ability to significantly improve product performance and team effectiveness, • Extensive experience analyzing large-scale, complex datasets and making data-driven decisions, • Proficiency using AI-enabled tools to build product artifacts, • Experience developing and scaling AI-native strategies, including evaluations and data strategies, across teams, • Experience integrating diverse user requirements and context into a coherent product strategy, • Experience leading and motivating teams and influencing across an organization, • Strong communication skills, with the ability to explain complex technical topics clearly to audiences at all levels, • Experience identifying and hiring talent for an AI-capable cross-functional team, • Будет плюсом: Ongoing AI skill development, such as prompt/context engineering or agent orchestration, and staying current with emerging AI technologies; integrating AI tools to optimize or redesign workflows and deliver measurable impact; implementing responsible and ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews, • Benefits are offered in addition to base compensation #J-18808-Ljbffr

Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That’s why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it’s needed. We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. Partners send us thousands of small businesses each month looking for finance, using our Lending API embedded in the apps those businesses already use. You’ll be the person who makes those integrations work: guiding partners’ developers through the build, fixing what breaks, and turning what partners need — and what we learn from them — into what we build next. You don’t need to arrive with extensive experience of debugging API’s, but you do need to be curious and open to learning whatever it takes to help partners. The Partnerships team puts iwoca’s lending inside the platforms small businesses already use — banking apps, accounting software, payment providers and comparison sites— through our Lending API. Partners range from recognisable global names to one-person businesses, and each one needs its integration to work differently. The team’s job is to grow those partnerships and to keep the journey from a partner’s app to a funded loan as short as it can be. You will also work very closely with our Partner Flow team, who build and maintain the Lending API and any features partners need. You’ll be the main contact for partners’ developers, helping them with all things API. You’ll need to be curious, meticulous, and happy working under your own steam. • Learn the Lending API end to end — every endpoint, webhook and failure mode., • Guide a partner’s engineers from sandbox, to live and any ongoing optimisations. Shaping the integration they build along the way., • Review partner customer journeys and tell them what to change to get more businesses funded., • Triage live integration issues, trace them through the logs and code, and work with Partner Flow engineers on the fix., • Own the technical relationship with each partner, from their engineers to their commercial leads., • Pitch new API features to partners alongside our commercial team, and make the case for why they’d move the numbers., • Be the partners’ voice inside iwoca — collect what they need and push it onto the roadmap., • Build the monitoring that tells us an integration is degrading before a partner has to tell us, then analyse and investigate what’s going wrong., • Dig into integration performance data to find the problems nobody has reported yet., • Own our public API documentation and make it the reason partners choose to build with us. Essential: • A degree in a technical or scientific subject — computer science, engineering, maths, physics or similar, • An understanding and interest in how APIs work — enough to follow the logic in a partner’s integration., • Clear, concise communication with technical and non-technical audiences alike, and the credibility to manage a partner’s expectations., • An analytical approach that gets to the root of a problem, not just the symptom., • Commercial sense to judge which problems, and which partners, are worth your time first., • Comfortable using AI tools to investigate, analyse and get to answers faster. Bonus: • Experience in a partner-facing or customer-facing technical role., • Experience reading API documentation or debugging an integration yourself, even on a side project., • Basic coding experience. We expect to pay £32,500 - £37,500 (+20% quarterly OTE bonus) for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. At iwoca, we prioritise a culture of learning, growth, and support, and invest in the development of our team members. We value thought and skill diversity, and encourage people to explore new areas of interest, adopt better tools – including AI – and apply sound judgement so our products and decisions improve over time. We put a lot of effort into making iwoca a great place to work: • Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks., • Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions., • Flexible working hours., • Medical insurance from Vitality, including discounted gym membership., • A choice between a dedicated dental plan or a health cash plan that reimburses everyday medical expenses., • A private GP service (separate from Vitality) for you, your partner, and your dependents., • 25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave., • A one-month, fully paid sabbatical after four years., • Instant access to external counselling and therapy sessions for team members that need emotional or mental health support., • 3% Pension contributions on total earnings., • An employee equity incentive scheme., • Generous parental leave and a nursery tax benefit scheme to help you save money., • Electric car scheme and cycle to work scheme., • Two company retreats a year: we’ve been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: • A learning and development budget for everyone., • Company-wide talks with internal and external speakers., • Access to learning platforms like Treehouse., • iwoca benefits & policies, • Interview welcome pack #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic’s Infrastructure organization is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand. Node Infra owns the full lifecycle of accelerator capacity at Anthropic. We ingest and provision compute from all major cloud providers and from datacenters custom-built for Anthropic, stand up and scale the clusters behind one of the industry’s largest AI compute fleets, and build the health, diagnostics and repair automation that keep every GPU, TPU and Trainium node in the fleet usable and ready to power Anthropic’s frontier AI research. • Own the technical strategy and roadmap for node lifecycle management - ingestion, bring-up, health checking, and automated repair, • Drive cross-team initiatives to build and scale AI clusters across multiple clouds and accelerator families, • Design and operate the systems that detect, isolate, and remediate unhealthy hardware automatically, driving up fleet MTBI and minimizing stranded capacity, • Define infrastructure architecture, ensuring the hardest problems get solved - whether by you directly or by working through others, • Work closely with cloud providers and internal research/inference/product teams to shape long-term compute, data, and infrastructure strategy, • Establish and evolve operational excellence practices (incident response, postmortem culture, on-call), • Support the growth of engineers around you through technical mentorship and coaching, • Deep expertise in distributed systems, reliability, and cloud platforms (e.g., Kubernetes, IaC, AWS/GCP/Azure), • Strong proficiency in at least one systems language (e.g., Rust, Go, or Python), IaC proficiency with Terraform., • Hands-on experience with machine learning accelerators (GPUs, TPUs, or Trainium), • Track record of leading complex, multi-quarter technical initiatives that span multiple teams or systems, • Ability to build alignment across senior stakeholders and communicate effectively at all levels, • 12+ years of software engineering experience, including time as a technical lead setting direction for a team, • Experience managing large scale compute infrastructure at hyperscale (10K+ nodes), including capacity management and efficiency, • Depth in one or more of: Kubernetes internals (scheduler, autoscaler, kubelet, Karpenter), cluster orchestration systems (Mesos, Borg-like), or node provisioning pipelines, • Low-level systems experience: kernel, virtualization, device drivers, firmware, or hardware health/diagnostics daemons, • Familiarity with high-performance networking (EFA, RDMA, InfiniBand) for distributed ML workloads., • Demonstrated ownership of production reliability for high-throughput, latency-sensitive systems, • Contributions to relevant open-source projects (Kubernetes, Linux kernel, container runtimes, etc.), • Skill in quickly understanding systems design tradeoffs and keeping track of rapidly evolving software systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £325,000—£485,000 GBP Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work. We think AI systems like the ones we’re building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates’ AI Usage: Learn about our policy for using AI in our application process. #J-18808-Ljbffr

Our world-leading Time & Frequency department is seeking a Higher Scientist with proven expertise in scientific data analyses and applied physics. This is an exceptional opportunity to join the global authority in precision timing at a defining moment for UK digital infrastructure. Backed by a government investment of £180 million in the National Timing Centre (NTC) programme, we are developing a world-first resilient time distribution capability that will provide industry with a robust complement to satellite systems (such as GPS) – which are increasingly vulnerable to disruption from solar storms, jamming and spoofing. You’ll be developing and operating atomic fountain clocks, which are at the heart of the UK’s national timescale,UTC (NPL). Our caesium fountains are among the most accurate in the world. We also build primary fountain clocks for timing labs across the world and are developing a new compact cold atom clock. You will enjoy contributing to the improvement of performance and reliability of caesium fountain clocks, and to develop novel devices. • Design, implementation and operation of atomic clocks, • Systematic evaluation of fountain clock accuracy, • Apply specialist knowledge to solve challenging technical problems, • Analyse and prepare data for steering local and international time scales, • Support activities across the department in other areas of timing To be successful in this role, you will have the following skills, experience, and qualifications: • PhD (or equivalent) experience in physics, electronic engineering or a related field, • Previous experience with practical experiments in the atomic, molecular, or optical area, • Experience of instrumentation or electronics development, • Software development (such as Python and Labview), • Experience with lasers and optics, and the use of test and measurement instrumentation, • Proficiency in electronics, instrumentation development and RF/microwave engineering, • Experience with vacuum and/or cryogenic systems, • Statistical techniques for manipulating time series data We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in The Quantum and Timing business unit, you will need to have an SC clearance with no restrictions, or you must have the ability to obtain an SC clearance. The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. Find out more about what it is like working here - The measure of us - Overview NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we ensure we're creating an environment where all our colleagues feel supported and welcome. More about this on our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of rewards, benefits and recognition. Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us. #J-18808-Ljbffr

At Anduril, we are developing unmanned systems for subsurface, surface, land, and air domains that will leverage unsupervised autonomy for the delivery of multi-mission capability to our customers. In addition to the physical systems being produced, Anduril is providing training and experimentation services to our partners and customers. These projects require Warfighting Systems Analysts who can connect operational needs to system architecture, technical performance, integration choices, and mission-level outcomes. We are looking for our next Lead Warfighting Systems Analyst to join our rapidly growing team in Abu Dhabi, UAE. Initial hiring will be in London, UK and the candidate will relocate upon initial completion of the simulation center. The Lead Warfighting Systems Analyst is responsible for producing, iterating, and supporting Modeling, Simulation, and Analysis (M&S&A) including wargaming and experimentation for Anduril products. This has a three-fold purpose: Train the customer in Anduril capabilities, conduct internal analysis to support the iterative improvement of current and future products, and learn the specific customers’ needs to ensure we produce the right product for the right reasons. The Lead Warfighter Systems Analyst will be the first hire and lead role in an extremely Agile team of wargaming analysts who will be the plank owners of a new simulation center being built in the UAE. This role is ideal for individuals who can reason across military operations and technical systems, evaluate performance tradeoffs, develop and deploy scenarios with Python and YAML, and communicate how system design decisions affect operational utility. • Leverage high-end models and simulations, including Anduril's Lattice Mission Simulation (MissionSim) to conduct simulation, experimentation, and training, • Develop scenarios based on customer needs to demonstrate capabilities, • Support engineering and product teams by evaluating how platform, payload, autonomy, sensor, effector, communications, navigation, or C2 choices affect mission outcomes, • Design, execute, and analyze tactical (engagement-level and mission-level) analysis and wargames to assess autonomous system capabilities and refine tactics, • Develop physics-based models and relevant operational scenarios, with an emphasis on modeling red and blue force systems and tactics, • Assess system-of-systems interactions, integration risks, dependencies, constraints, and mission impacts, • Lead the warfighting capability analysts to ensure system analysis remains grounded in real operational problems and customer needs, • Collaborate with engineering and business development teams to demonstrate Anduril's capabilities and value proposition through rigorous, data-driven analysis, • Currently possess and be able to maintain an active country specific Secret security clearance, • 7+ years of experience in Operations Research, Systems Analysis (ORSA), systems engineering, mission engineering, test and evaluation, or a related technical-operational discipline, • Experience with tactical experiments and wargaming design, including scenario development, data analytics, and trade-space analysis, • Demonstrated experience in modeling and simulation for military missions, with a preference for a background in friendly and adversary tactics, • Proficiency with C++ or Python for physics-based modeling and scripting, • Ability to connect system performance, architecture, and design choices to mission outcomes, • Ability to assess and solve problems, and to effectively communicate results through strong verbal and written skills, • Experience with DoD M&S tools (e.g., AFSIM, Brawler, Suppressor, ESAMS, Command PE), • Ability to obtain and maintain a country specific Top Secret security clearance, • Bachelor's or Master's degree in Operations Research, Engineering, Computer Science, Data Science, Physics, Mathematics, or a related technical field, • Operational military background with a subsequent transition into an ORSA, M&S, or Operations Analyst position, • Experience with AFSIM plug-in development or other advanced M&S framework customization, • Familiarity with model-based systems engineering, digital engineering, operational test, or experimentation, • Experience developing KPPs, KSAs, MOEs, MOPs, requirements, test objectives, or system performance assessments, • Experience with defense systems, autonomous systems, maritime systems, undersea systems, sensors, effectors, communications, navigation, C2, or ISR mission systems The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you're supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. #J-18808-Ljbffr

Rivan Industries is a synthetic fuel company decarbonising heavy industry. We’re making synthetic fuel cheaper than fossil fuels, sustaining life on earth by keeping the CO2 locked underground. Engineering at Rivan is about taking technologies that are conventionally treated as low volume, bespoke, and expensive, and rethinking them completely to be mass manufactured, standardised, and ultra low cost. Every design aspect must be re-reasoned from first principles, every part’s existence questioned, and every manufacturing step scrutinised. We’re looking for a talented Senior Mechanical Engineer to own one of our electrolyser sub-systems to drive that forward, tasked with uncovering new ways of thinking about our system integration, performance, longevity, and manufacturability. If you thrive on a lot of responsibility and tight deadlines, come and build! Own the design and manufacture of an entire Rivan sub-system, from physics and chemistry, to rolling out of the factory door. Own mechanical design of an electrolyser sub-system, from early stage physics and chemistry, through detailed design, build and commissioning. We need you to: • Own the concept generation, system architecture, and technical requirements capture, • Design and iterate electrolyser stack structures and sub-system balance of plant., • Design test-rigs to validate underlying hypotheses quickly and cheaply, • Solve complex fluid and thermal problems, including two-phase gas-liquid flow, • Own and iterate detailed design drawings with our fabrication workshop, • Work closely with process, electrical and controls engineers to integrate the complete system, • Liaise with external vendors to support our development and production, • 5+ years professional experience, • Bachelor’s or Masters in mechanical/aero or related field, • System design experience including CAD (SolidWorks), design for manufacture/assembly, part specification and procurement of complex, integrated systems involving moving fluids, • Hands on workshop fabrication and build experience, • Fundamental thermofluids understanding, including pressure loss, heat and mass transfer, and two-phase flow, • Simulation/analytical modelling competency (e.g. python, FEA, CFD), • Test setup design, running of experiments, and data analysis, • Alkaline water electrolysis or other electrochemical processes, • £70-90k Salary depending on experience, • Significant share options as part of the early team, • In-person work at our HQ in Bermondsey, South-East London, • Extensive relocation support, including £6000 per year extra to live close to our HQ, • Private health insurance, • Unlimited time-off We encourage exceptional applicants from all backgrounds to apply for this role, even if they do not meet all the requirements listed. If you don't see a current role that fits, we also welcome open applications via our website. #J-18808-Ljbffr

With a varied workload across multiple sectors no two days will be the same. You could be completing thermal models on a football stadium one day, then completing heating & comfort studies on an entertainment venue the next. Are you looking for a friendly and relaxed working environment? With 80% of their workload coming from repeat business they are treated like partners by their clients. They have a very low staff turnover as people like the work and enjoy the environment. Do you have a passion for building physics and LZC/Renewable solutions? Are you looking for a design consultancy who are well established and serious about sustainability? Are you keen to understand the ever-evolving technologies and design innovations in relation to hitting carbon neutral targets? We want you to help us develop our building physics design expertise on a range of building projects across the UK, working in collaboration with our M&E Engineers and wider disciplines. What you will be doing: Energy modelling and building simulation Completing projects for Part L compliance, CIBSE TM59/52 & AD O Compliance, EPCs, CIBSE TM54 Operational Energy, SAP Assessments Early design modelling looking at passive design measures· Liaison with design team, statutory authorities and contractors. Report writing Company Profile: Independent M&E consultancy with two Northern offices Strong team structure with over 35 technical staff Projects across varied sectors up to £300m in value Very strong client relations with 80% of company turnover with repeat business. Attention to detail utilising our breadth of experience, technical skills and with levels of personal attention. Benefits Competitive Salary Private health care Health care cash plan Flexible working arrangements Generous Holiday Entitlement TPBN1_UKTJ

Location: New Scientist Headquarters, HSK, London, W8 5HY Position: Full Time/Permanent We are seeking an experienced and innovative Head of Visuals to be the lead for New Scientist's editorial visual identity and manage the picture, graphics, and art desks across digital and print platforms. This role is integral to shaping the visual identity of our journalism, and ensuring high-quality digital imagery, compelling graphics, and cohesive design elements that enhance storytelling and audience engagement. In addition, you will work in close partnership with our Product Design team to maintain a unified brand experience. The ideal candidate will have a strong background in visual journalism, digital visual storytelling, team leadership, and cross-platform production. • Take ownership of the visual identity of New Scientist's storytelling, ensuring excellence and impact across all editorial output., • Partner closely with the Head of Product Design to ensure a coherent and consistent visual brand identity across all customer touchpoints., • Oversee the strategic direction and day-paced management of the visuals department, including photography, graphics, and editorial design teams., • Develop and implement a cohesive digital and print visual strategy that aligns with New Scientist's editorial goals across all platforms., • Collaborate with editors, reporters, designers and other relevant colleagues to create compelling visual narratives, • Ensure all visual content maintains high editorial and ethical standards, including accuracy, aesthetics, and adherence to copyright and other applicable laws and regulations., • Ensure the workflows and production schedules meet tight deadlines while maintaining quality., • Identify efficiencies in the print production process to free up resource for digital., • Encourage innovation in digital visual storytelling through emerging digital formats, data visualisation, and interactive graphics., • Work closely with external contributors, agencies, and freelancers to expand/develop visual content offerings., • Oversee budget allocation and resource management for the visuals department., • Ensure seamless integration of visual content across social media, mobile platforms, and emerging digital formats., • Foster a collaborative and creative work environment within the visuals team., • Relevant experience in digital visual journalism, including leadership roles in a newsroom environment., • Expertise in Adobe Creative Suite, CMS platforms, Figma and other industry-standard design tools., • Strong editorial judgment and understanding of journalistic ethics in visual content., • Proven ability to manage teams and projects in a fast-paced newsroom., • Excellent communication and leadership skills, with a proven track record of building strong, collaborative partnerships across different internal departments (e.g. Product, Marketing), • Experience with digital-first content strategies, including data visualisation and interactive storytelling., • Understanding of SEO, social media engagement, and audience behaviour related to visual content. New Scientist is a magazine brand for the insatiably curious, asking the big-picture questions about life, the universe and what it means to be human. From artificial intelligence to climate change, the latest innovations in health to the mysteries of quantum physics and the human mind, New Scientist covers the ideas and discoveries that matter. Since our publication was founded in 1956 for "all those interested in scientific discovery and its social consequences", it has expanded to include newsletters, videos, podcasts,holidaysand live events. Our headquarters are in London, UK, and we also have staff in the US and Australia. New Scientist is an Equal Opportunity Employer. All applications to New Scientist will receivedue considerationregardless of gender, ethnicity,religionor belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade unionmembershipor membership in any other legally protected category. #J-18808-Ljbffr

Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build products. We are looking for Product Managers who value moving quickly and lead AI-native product development at scale., 2. defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context • 2. defining success, prioritizing problems and identifying the best strategies, considering wider organizational and company context. Adapt and adjust your strategies to reflect learnings and changes in context, • 3. Identify and drive consensus for how to prioritize and realize the most significant opportunities in your product area. Identify when to stop as well as when to start investment, • 4. Critically evaluate when AI is (and isn't) the optimal solution, with sophisticated articulation of tradeoffs, risks, and second-order effects, • 5. Translate AI capabilities into compelling product visions that create differentiated value, • 6. Develop and champion AI-native strategies including comprehensive evals and data strategies that enable continuous improvement, • 7. Work with a cross-functional team to define a product vision, develop a roadmap and drive progress against goals and milestones and resolve challenges and blockers, while improving team health and upleveling the effectiveness of the team, • 8. Actively identify opportunities and resolve dependencies by creating shared strategies across teams in adjacent product areas, • 9. Reimagine workflows, responsibly using AI tools to dramatically increase team velocity and capability, • 10. Foster a culture of rapid experimentation and learning across the organization, • 11. Scale AI best practices (including responsible AI use), workflows, and artifacts across product teams so the org's capability compounds over time, • 12. Support the growth of other PMs and cross-functional team members by providing mentorship and coaching on AI-native practices, • 13. Influence strategy and progress across partner functions, enhancing collaboration and resolving divergent goals, • 14. Orchestrate complex execution across multiple workstreams by combining AI automation with strategic human oversight-using AI to reduce toil while maintaining high quality and accountability, • 15. Communicate product strategy and progress clearly and concisely to all stakeholders, • 16. Use AI-enabled tools to build products-independently creating tangible artifacts to prototype, validate, or ship, • 17. Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning, • 18. Demonstrate deep understanding of system/architecture trade-offs and how they impact user experience and business outcomes, • 19. lead credible technical discussions with engineering partner, • 20. Gather and analyze user research and market analysis to inform product decisions and influence the wider product organization, • 21. Design sophisticated experiments and interpret results (leveraging AI to accelerate analysis) and drive concrete product decisions, • 22. Define and run evaluations (evals) to interpret model outputs and adjust execution based on learnings-establishing evaluation as a first-class product practice across teams, • 23. 8+ years of relevant industry experience with at least 3 years in Product Management, • 24. Bachelor's degree (or relevant degree equivalent): STEM subject ideal but not essential (Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences), • 25. Experience leading cross-functional product team(s) across a full product line: Crafting product mission and strategy, defining product requirements, coordinating resources from other groups (marketing, legal, etc.), and driving the team to achieve key milestones and goals, • 26. Experience managing a product through the full product lifecycle, • 27. Proven experience to drive a step change in the performance of a product and the effectiveness of the team that delivers that product, • 28. Extensive understanding in analyzing large-scale, complex data sets and making effective decisions based on data, • 29. Demonstrated proficiency using AI-enabled tools to build product artifacts, • 30. Experience developing and scaling AI-native strategies including evals and data strategies across teams, • 31. Experience integrating a diverse set of requirements from a broad set of users as well as context into a single coherent product strategy, • 32. Experience leading and motivating teams and influencing across an organisation, • 33. Demonstrated experience in communication, bringing extreme clarity to complex and technical messages across all audience levels, • 34. Experience identifying and hiring the right talent to build an AI-capable cross-functional team, • 35. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • 36. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), • 37. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) #J-18808-Ljbffr

Join to apply for the Software Engineer - Apollo Platform role at Palantir Technologies. Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Are you excited about building world-class platforms that power mission-critical software at a huge scale? Apollo enables autonomous management and continuous deployment of software, wherever it is. We’re taking SaaS to where SaaS has not gone before: from on-premise, to various cloud providers, to disconnected environments (air-gapped), to strict accreditation frameworks including IL-5 and FedRAMP, and to the edge. You can read more about the problem Apollo was built to solve on our blog or watch our Apollo demo day. As a Software Engineer on the Apollo platform you will build software at scale to transform how organisations around the world deploy software. You will be responsible for mission-critical software powering deployment of software for both Palantir and its customers in the commercial and government space. You have a curious mind, high bar for engineering quality and the ability to work in a dynamic environment where the best idea wins. Apollo Software Engineers are involved throughout the product lifecycle – from idea generation, to design and prototyping, to execution, and shipping. You’ll collaborate closely with technical and non-technical counterparts to understand our customers’ problems and build products that solve them. Please note that this posting is open to all levels of experience. • Build and maintain highly available systems responsible for orchestration of software deployment across hundreds of production environments, • Engage and solve problems that customers need today with a tight feedback loop for what is important and what works, • Work directly with other teams to solve problems that cross the team boundary, • Debug complex issues and performance problems throughout the stack, • Some familiarity with containers (Docker) and orchestration (Kubernetes), • Experience developing and managing highly-available distributed systems, • Demonstrated success building systems that meet requirements around monitoring, stability, and scalability, • Experience building high-quality software in a fast-paced CI/CD development environment, • High empathy for developer and operators workflows and productivity, • Experience in Software Engineering, Computer Science, Math, Physics or similar field, • Strong software developer with demonstrated proficiency in programming languages such as Java, Golang, C++, or equivalent, • Demonstrated ability to learn and work independently and make good decisions with minimal direction, • Strong written and verbal communication skillsGreat problem solving skills with ability to evolve complex systems We want every Palantirian to achieve their best outcomes, celebrating individual strengths, skills, and interests from interview to long-term growth. Promoting health and well-being across all areas of Palantirian lives is an investment in our community. We encourage employees to work from our offices to foster connectivity and innovation, while many teams offer hybrid options (WFH a day or two a week). For role‑specific remote work, you will need to work from the city or country in which you are employed. If you require accommodations during the application or hiring process, let us know how we can help. #J-18808-Ljbffr

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. As a Senior CFD Engineer – Plasma Specialist, you are a problem solver passionate about creating practical solutions that help customers make better engineering decisions. You bring deep expertise in plasma physics and excel at working directly with customers, often on-site to build high-fidelity computational models integrated into AI tools that are both useful and used. We are seeking a skilled Senior CFD Engineer with expertise in plasma physics applied to semiconductor manufacturing, including plasma etching, deposition, and surface processing. We are particularly interested in candidates with a strong background in computational plasma modeling, covering areas such as plasma chemistry, sheath dynamics, ion energy distribution, and plasma-surface interactions. Awareness of machine learning in physics-based simulation workflows is a plus. You are independent, adaptable, and experienced, able to engage rapidly with semiconductor customer teams and tackle highly niche engineering challenges without needing to learn the industry from scratch. Strong communication skills are critical, as you'll work closely with clients to define challenges, present results clearly, and co-develop solutions. If you have Plasma experience in other industries, we'd still love to hear from you! In this role, you will work closely with our Data Scientists, Machine Learning Engineers, and customers to understand and define the plasma-related engineering challenges we are solving. You will play a crucial role in delivering high-fidelity simulations by: • Building and owning computational plasma models for semiconductor manufacturing processes, including plasma etching, CVD/ALD deposition, and ion-driven surface interactions., • Working directly with semiconductor customers – often on-site – to scope engineering challenges, design modeling strategies, and present results in a way that drives real process decisions., • Selecting and applying the right simulation tools and fidelity level for each problem (e.g., COMSOL, HPEM, VizGlow, CFD-ACE+), and validating outputs against experimental or industrial process data., • Collaborating closely with PhysicsX Data Scientists and ML Engineers to integrate your simulation work into AI‑powered workflows., • Operating independently on open‑ended, highly specialised problems – scoping, executing, and delivering with minimal oversight., • Having 3–5 years of industry experience (post‑PhD), ideally within or directly supporting the semiconductor manufacturing industry., • Proficiency in Python (or similar) for workflow automation, data handling, and integration with simulation tools., • Combining project leadership with a strong commitment to mentoring junior colleagues, contributing to a culture of collaboration, growth, and shared success., • Traveling globally (North America, Europe, Asia, Oceania) for an average of 3-4 weeks per quarter to work side‑by‑side with customers in building solutions on‑site. As the role evolves, there are opportunities for growth as an individual contributor or technical lead, especially if you want to own increasingly complex semiconductor plasma projects and help guide the direction of future solutions. We operate on a hybrid model, with around three days per week based in our Shoreditch office. Turn AI models into practical solutions – read our blog to learn more about how you'll contribute to this exciting journey! • Equity options – share meaningfully in the company you’re helping to build., • 10% employer pension contribution – because investing in future matters., • Free office lunches – to keep you energized and focused., • Enhanced parental leave – 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most., • YellowNest nursery scheme – to help working parents manage childcare costs., • 25 days of Annual Leave (+ Public Holidays) – because taking time to rest matters., • Private medical insurance – 100% employee cover, giving you complete peace of mind., • Wellhub Subscription – gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing., • Eye tests – because good work depends on good health., • Personal development – dedicated support for learning, development, and leveling up over time., • Employee Assistance Programme (EAP) – confidential wellbeing support, available whenever you need it., • Bike2Work scheme and Season ticket loan – to make getting to work easier and greener., • Octopus EV salary sacrifice – for a simpler, more sustainable way to drive electric. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. #J-18808-Ljbffr

Job Title: Nuclear Medicine Technologist - Senior II At Bupa, you can be the Nuclear Medicine Technologist you want to be. With the autonomy to use your skills and strong benefits to support you, patient care can be your top priority. Building a career in radiography has never been easier, with good hours, you can live a balanced, healthy lifestyle. Joining Bupa, you'll benefit from access to our state-of-the-art Clinical Training Facility, a centre for connected learning, care and careers. This forms part of Bupa Campus, a vibrant new learning initiative which brings us together in virtual and physical spaces across the Bupa globe. We are looking to appoint a Nuclear Medicine Technologist Senior II to work at Cromwell Hospital, which is an internationally recognised hospital located in the heart of Kensington, London. This hospital receives both UK and international patients and is committed to providing the highest quality healthcare for patients. The Cromwell Hospital is a major international private hospital in West London receive both UK and international patients. We are committed to providing the highest quality healthcare outpatient and inpatient service care. The hospital has 180 beds and 4 suites, 6 theatres, medical and surgical wards, CDU, level 2 and 3 full intensive care facilities, paediatrics, diagnostic services, physiotherapy, and a dedicated day surgery unit. The imaging/diagnostics services we provide at the Cromwell Hospital include; Nuclear Medicine, MRI, CT, general/xray, and Mammography. We also partner with Genesis Care who are onsite. You’ll work as part of a multi-disciplinary team performing all types of Nuclear Medicine and PET/CT procedures, showing flexibility of shared tasks to ensure that we provide the best quality Nuclear Medicine and PET/CT service in a pleasant environment for both staff and patients, ensuring that a high quality, cost-effective service is delivered. Maintain a high standard of Nuclear Medicine and PET/CT imaging and patient care in accordance with the departmental and hospital quality standards. • Perform all types of Nuclear Medicine and PET/CT procedures according to departmental needs and policies., • Demonstrate significant evidence of Nuclear Medicine and PET/CT knowledge to meet with the expectations of the Consultants., • Check all scans before sending to the consultants for reports., • Accurately analyse the acquired data, record results and produce high quality images for reporting., • Participate in a Quality Assurance programme for equipment, processing and Radiation Protection, maintaining accurate records and reporting problems to the Radiation Protection Supervisor., • Liaise with the Medical Physics department to ensure that correct procedures are followed concerning the handling of radioactive waste and accidental spills., • Maintain accurate records of isotope deliveries and waste disposal of same on a weekly basis., • B.Sc. Hons in Diagnostic Radiography or Diploma of Radionuclide Imaging or equivalent (essential), • Nuclear Medicine Technologist or HCPC registered Radiographer, • Fully conversant with PACS., • Registration with Health Professions Council (if a Radiographer), • Experience in PET-CT imaging / Nuclear Medicine / multi-slice CT scanning ( essential), • Perform IV cannulation and confidently administer radioactive injections and other licenced products. Our benefits are designed to make health happen for our people. Viva is our global wellbeing programme and includes all aspects of our health – from mental and physical, to financial, social and environmental wellbeing. We support flexible working and have a range of family friendly benefits. Joining Bupa in this role you will receive the following benefits and more: • Payment of Professional Registration fees (if applicable), • Equivalent to 25 days holiday per year, increasing through length of service, with option to buy or sell., • Bupa health insurance as a benefit in kind, • An enhanced pension plan and life insurance, • Support with travel costs via a season ticket loan or cycle2work, • Discounted access to online gym sessions through Gympass, • Various other benefits and online discounts, • Free onsite massages as a recognition for your hard work, • Opportunity to participate in our annual awards ceremony We’re a health insurer and provider. With no shareholders, our customers are our focus. Our people are all driven by the same purpose – helping people live longer, healthier, happier lives and making a better world. We make health happen by being brave, caring and responsible in everything we do. We encourage all of our people to “Be you at Bupa”, we champion diversity, and we understand the importance of our people representing the communities and customers we serve. That’s why we especially encourage applications from people with diverse backgrounds and experiences. As a Disability Confident employer, we offer a guaranteed interview for every disabled applicant who meets the minimum criteria for the job. We’ll make sure you are treated fairly and offer reasonable adjustments as part of our recruitment process to anyone that needs them. At Bupa we strive to ensure all our of customers, patients and staff are safe. All employees have a duty to ensure that safeguarding children, young people and adults at risk is prioritised and acted on appropriately. Full time Clinical Services Cromwell Hospital London #J-18808-Ljbffr

Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. Partners send us thousands of small businesses each month looking for finance, using our Lending API embedded in the apps those businesses already use. You'll be the person who makes those integrations work: guiding partners' developers through the build, fixing what breaks, and turning what partners need - and what we learn from them - into what we build next. You don't need to arrive with extensive experience of debugging API's, but you do need to be curious and open to learning whatever it takes to help partners. The Partnerships team puts iwoca's lending inside the platforms small businesses already use - banking apps, accounting software, payment providers and comparison sites- through our Lending API. Partners range from recognisable global names to one-person businesses, and each one needs its integration to work differently. The team's job is to grow those partnerships and to keep the journey from a partner's app to a funded loan as short as it can be. You will also work very closely with our Partner Flow team, who build and maintain the Lending API and any features partners need. You'll be the main contact for partners' developers, helping them with all things API. You'll need to be curious, meticulous, and happy working under your own steam. • Learn the Lending API end to end - every endpoint, webhook and failure mode., • Guide a partner's engineers from sandbox, to live and any ongoing optimisations. Shaping the integration they build along the way., • Review partner customer journeys and tell them what to change to get more businesses funded., • Triage live integration issues, trace them through the logs and code, and work with Partner Flow engineers on the fix., • Own the technical relationship with each partner, from their engineers to their commercial leads., • Pitch new API features to partners alongside our commercial team, and make the case for why they'd move the numbers., • Be the partners' voice inside iwoca - collect what they need and push it onto the roadmap., • Build the monitoring that tells us an integration is degrading before a partner has to tell us, then analyse and investigate what's going wrong., • Dig into integration performance data to find the problems nobody has reported yet., • Own our public API documentation and make it the reason partners choose to build with us. Essential: • A degree in a technical or scientific subject - computer science, engineering, maths, physics or similar, • An understanding and interest in how APIs work - enough to follow the logic in a partner's integration., • Clear, concise communication with technical and non-technical audiences alike, and the credibility to manage a partner's expectations., • An analytical approach that gets to the root of a problem, not just the symptom., • Commercial sense to judge which problems, and which partners, are worth your time first., • Comfortable using AI tools to investigate, analyse and get to answers faster. Bonus: • Experience in a partner-facing or customer-facing technical role., • Experience reading API documentation or debugging an integration yourself, even on a side project., • Basic coding experience. We expect to pay £32,500 - £37,500 (+20% quarterly OTE bonus) for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. At iwoca, we prioritise a culture of learning, growth, and support, and invest in the development of our team members. We value thought and skill diversity, and encourage people to explore new areas of interest, adopt better tools - including AI - and apply sound judgement so our products and decisions improve over time. We put a lot of effort into making iwoca a great place to work: • Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks., • Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions., • Flexible working hours., • Medical insurance from Vitality, including discounted gym membership., • A choice between a dedicated dental plan or a health cash plan that reimburses everyday medical expenses., • A private GP service (separate from Vitality) for you, your partner, and your dependents., • 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave., • A one-month, fully paid sabbatical after four years., • Instant access to external counselling and therapy sessions for team members that need emotional or mental health support., • 3% Pension contributions on total earnings., • An employee equity incentive scheme., • Generous parental leave and a nursery tax benefit scheme to help you save money., • Electric car scheme and cycle to work scheme., • Two company retreats a year: we've been to France, Italy, Spain, and further afield., • A learning and development budget for everyone., • Company-wide talks with internal and external speakers., • Access to learning platforms like Treehouse., • iwoca benefits & policies, • Interview welcome pack #J-18808-Ljbffr

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. As a Forward Deployed Lead / Principal Engineer (FDE) with an AI & Agentic Engineering focus (Band 9), you own the technical direction and delivery of major enterprise AI programmes — architecting the agentic systems and generative AI applications that go into production in close collaboration with platform engineering. You align enterprise goals with target-state AI architectures for senior stakeholders, guide the team’s technical direction while staying close to the work, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment. You combine deep expertise in agentic AI systems, RAG, and applied software engineering with strong consulting acumen. You establish AI governance frameworks, champion sound engineering practice across the AI delivery lifecycle, and act as a go-to technical reference on complex engagements. Depending on the engagement, you’ll draw on some of the below more than others — not every bullet applies to every project. • Design and build agentic AI applications and multi-agent workflows, along with the frameworks that run them, for enterprise use cases, • Build RAG pipelines and integrate LLM APIs, vector databases, and MCP (Model Context Protocol) tooling, • Process unstructured data into condensed, structured knowledge, including ontology extraction, • Write production-grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD, • Work with relational and graph databases (e.g.Postgres, Neo4j) to model and serve data behind AI applications, • Work closely with platform engineering throughout deployment — hosting, scaling, and MLOps/LLMOps — without owning that infrastructure yourself, • Define AI governance and responsible-use guardrails: data privacy boundaries, LLM governance, and policy enforcement (OPA/Rego), • Instrument AI applications for observability (OpenTelemetry, Prometheus) so behaviour and cost stay visible in production, • Translate enterprise requirements into AI solution roadmaps for senior stakeholders, • Capture field learnings, codify reusable agentic patterns, and mentor engineers hands-on, • Provide architectural oversight across multi-disciplinary workstreams, staying close enough to unblock the team directly You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist. • 8–10+ years in software or solution engineering, with a track record of shipping AI systems in client-facing engagements, • Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub, • Hands-on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol), • Practical experience building RAG/LLM-based pipelines and working with vector databases, • Experience with relational and graph databases (e.g.Postgres, Neo4j) for data modelling behind AI applications, • Hands-on familiarity with modern AI coding copilots (e.g.Claude, Codex, Cursor), • Strong stakeholder communication, translating AI capability into business outcomes for senior stakeholders, • Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus), • Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open-source AI ecosystem, • Experience with image understanding and OCR, • Working knowledge of policy-as-code (OPA/Rego) for AI governance and guardrails, • Understanding of LLM governance: data privacy, guardrails, and responsible-use controls, • T-shaped profile: deep expertise in AI engineering, broad understanding across software engineering and technical consulting, • Willingness to travel and work on customer premises as required, • Degree in Computer Science, Data Science, Informatics, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience The “Kyn” in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. That’s The Kyndryl Way. Your career with us isn’t just a job—it’s an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’re here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. Ready to make an impact? Join us and help shape what’s next. #J-18808-Ljbffr

Mechanical(Electro-mechanical) R&D Engineer up to £c50k + Bonus ABJ6733 Perm Hybrid 3:2 An exciting opportunityhas arisen for an experienced mechanical / electro mechanical Research & Development Technology Engineer to join an innovative engineering and R&D team focused on developing new products. As a mechanical engineer or electro mechanical engineer you will work at the front end of research and development, where you will transform early-stage ideas into working proof-of-concept devices. A mechanical engineer you will play a key role in exploring new technologies through creative problem-solving, rapid prototyping, experimental testing, modelling and engineering analysis. As electro mechanical engineer this role is about developing entirely new technologies, reducing technical risk and generating the engineering evidence needed to support future product development. As mechanical engineer you will collaborate with multidisciplinary teams including engineering, industrial design, science, prototyping, product stewardship, project management and external technology partners. Key Responsibilities Lead front-end R&D technology workstreams from concept through to technical proof of feasibility. Design, build and develop proof-of-concept devices, prototypes, test rigs and experimental equipment. Apply first-principles engineering, physics, modelling and practical engineering judgement to solve complex technical challenges. Plan, execute and analyse experimental testing programmes, using results to refine designs and guide future development. Produce engineering calculations, modelling and technical analysis to support design decisions. Identify technical risks and implement practical solutions to reduce uncertainty. Work closely with internal specialists, suppliers and external technology partners to accelerate innovation. Support intellectual property awareness by identifying potential patent opportunities and maintaining confidentiality of technical developments. Present technical findings through reports, presentations, design reviews and engineering documentation. Capture and document technical learning to enable successful transfer into future product development programmes. Skills & Experience · Degree in Mechanical Engineering, Product Design, Electro-Mechanical Engineering or Physics · Experience within an engineering R&D, technology development or product innovation environment. Very desirable • experience with Siemens NX / types of products or projects you used it for. · Experience using 3D CAD solid works AutoCAD and engineering drawings. · Developing new technologies – with hands-on prototyping capability · Hands-on prototyping, mechanical assembly and experimental engineering. · Designing, modifying and troubleshooting prototype hardware, fixtures or test equipment. · Applying engineering calculations, physics, modelling or simulation to solve technical problems. · Managing technical work packages or small engineering projects with minimal supervision. · Understanding of rapid prototyping and manufacturing techniques. · Strong analytical skills supported by engineering calculations or modelling. This is an excellent opportunity for an engineer who enjoys taking ideas from concept to reality, thrives on solving complex technical challenges and wants to play a key role in developing innovative technologies for future products. Full Time Permanent Benefits: V Competitive base salary up to 50k + 30 % Bonus, Private Health Insurance, Pension 20% To Apply: Please contact Alison Basson on 0203 909 3782 / 07814547440 or apply for ABJ6733 to TPBN1_UKTJ

Global Banking & Markets - Software Engineer - Systematic Market Making -Vice President - London location_on London, Greater London, England, United Kingdom Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. Engineers in the Systematic Market Making (SMM) team play an integral role on the trading floor. We develop and employ automated trading strategies for the firm and its clients. We build complex parallel computing architectures, electronic trading tools and models to help us explain market behavior and predict price movement. Throughout the Global Banking and Markets Division, eTrading Engineers are using quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world, and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading-edge technologies to solve problems in electronic trading. In a team of energetic, self-motivated individuals, we need someone who can take the initiative at any stage of the software cycle, from inception, through development, to release and support. This role also interacts with a variety of other engineering, trading and sales teams. The structure is flat and the successful candidate will be able to manage his or her time to have maximum impact. You will be working on a team focused on electronic market making in Fixed Income, Currencies and Commodities (FICC). You will work with other engineers and traders to improve all aspects of price making and risk management. You’ll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You'll be doing all this in the context of FICC asset classes and will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. • Analyze trading system performance and identify areas for improvement., • Generate ideas for system enhancements that drive commercial performance., • Implement, test and deploy these ideas., • Improve the safety and reliability of trading systems., • Work constructively in collaboration with other team members., • Manage work to balance the short-term needs of the business with strategic enhancements., • Strong academic background in Computer Science or an analytical field such as Mathematics, Physics, Engineering, etc., • Strong software engineering background., • Proven ability to analyze data and draw useful commercial conclusions., • Comfortable communicating technical topics to non-specialist audiences., • History of productive interaction with other groups, especially sales, trading and other technology teams., • Experience building systems with strict requirements for low-latency (microseconds count) and deterministic performance., • Performance tuning/optimization of distributed systems. Know your way around a Linux shell. • Securities/trading experience is a plus but not required., • Multi-threaded/concurrent programming., • JVM tuning for low-latency., • Low-latency messaging, network protocols, network I/O in Java, JNI., • Hardware stack and hardware architecture from a latency perspective., • Knowledge of Linux kernel/OS internal. At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers. We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance. We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities. We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Read more about the full suite of class-leading benefits our firm has to offer. #J-18808-Ljbffr

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. You are a problem solver and builder, passionate about creating practical solutions that help customers make better engineering decisions. You can grasp and apply advanced engineering concepts across multiple industries, and you excel at working directly with customers, often on-site, to develop high-fidelity simulation models that feed into AI tools that are both useful and used. You bring deep expertise in fluid mechanics, heat transfer, and multiphase modelling, including particle-laden flows, fluidised beds, and coupled CFD-DEM. You are highly proficient in at least one of Star-CCM+, OpenFOAM, or Fluent, and experienced with DEM codes such as EDEM, LIGGGHTS, or Rocky. You are adept at automating these tools to create scalable optimisation workflows. Experience in parametric CAD modelling (NX or CATIA) and coding in Python (or the ability to pick up new programming languages quickly) is an advantage. • Independently build complex multi-physics models, from geometry clean-up and meshing through to simulation, post-processing, and integration of experimental data for validation, spanning single-phase, multiphase, and coupled CFD-DEM regimes., • Develop and validate DEM models of granular and particle-laden systems, including fluidised beds, pneumatic conveying, mills, aerosols, suspensions and coating processes, applying appropriate contact models, size distributions, and coupling strategies., • Build robust parametric CAD models coupled with simulation pipeline automation to execute advanced design optimisation and DoE studies across large parameter spaces., • Partner with customers to address complex engineering challenges through advanced simulation and AI solutions. Present results clearly, recommend actionable next steps, and balance accuracy with efficiency under real project deadlines., • Work at the intersection of CAE and data science to generate high-quality simulation datasets for training machine learning and deep learning surrogate models. Apply smart sampling strategies to capture the design space efficiently and reduce computational cost., • Leverage Flux (our cloud platform) and on-premise HPC resources to accelerate high-fidelity modelling, going beyond standard setup practices to achieve genuine performance gains at scale., • Continuously improve engineering best practices, adapting simulation model setups and outputs to support the development of deep learning surrogates and physics-informed ML models., • Combine project leadership with a commitment to mentoring junior colleagues, contributing to a culture of collaboration, rigour, and shared growth., • Travel globally (North America, Europe, Asia, Oceania) up to 2–3 weeks per quarter to work on-site with customers building solutions together., • Multiphase CFD: VOF, Euler–Euler, Euler–Lagrange, or mixture models, • DEM modelling: EDEM, Rocky, LIGGGHTS, or equivalent, • Coupled CFD–DEM workflows for particle–fluid systemsli>, • Heat and mass transfer modelling, • Reacting flows and phase-change processes (advantageous), • Proficiency in Star-CCM+, OpenFOAM, or Fluent, • MEng, MSc, or PhD in mechanical, chemical, or process engineering, • Python scripting and simulation automation, • DoE, surrogate modelling, and design space exploration, • Parametric CAD modelling (NX or CATIA advantageous), • Strong written and verbal communication with technical and non-technical audiences Please note, this role is based in London, working 2-3 days per week in our central office. Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real-world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high-caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Sustainable pace, long-term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … • Equity options - share meaningfully in the company you’re helping to build., • 10% employer pension contribution - because investing in future matters., • Free office lunches - to keep you energised and focused., • Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most., • YellowNest nursery scheme - to help working parents manage childcare costs., • 25 days of Annual Leave (+ Public Holidays) - because taking time to rest matters., • Private medical insurance - 100% employee cover, giving you complete peace of mind., • Wellhub Subscription - gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing., • Eye tests - because good work depends on good health., • Personal development - dedicated support for learning, development, and leveling up over time., • Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it., • Bike2Work scheme and Season ticket loan - to make getting to work easier and greener., • Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. Watch this space, we’re continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. #J-18808-Ljbffr

What can we offer you? Apart from job satisfaction, we can offer you: YOURSELF • 25 days’ holiday (with the option to buy more) HEALTH • Private Healthcare, • Optional dental insurance, health assessments and health cash plans, • Cycle to Work scheme WEALTH • Company Pension Scheme, matching contributions up to 5% of salary, • Life assurance, • Annual staff bonus scheme, • Season ticket loans We’re looking for a Cyclotron Engineer to join the small, specialist team based at our state-of-the-art clinical imaging centre in Hammersmith, West London. In this role you’ll support the maintenance and operation of the two on site cyclotrons vital in enabling the production of the short lived 11C and 18F isotopes essential in supporting our TR and DPS studies. An experienced professional, you’ll enjoy significant autonomy, drawing upon your expertise to make informed inputs and exercise sound judgement which inspires confidence amongst your colleagues and business stakeholders. Management of Cyclotron Operations and Associated Systems Maintenance and Troubleshooting • Provide Risk Management & Failure Prevention, • Provide On‑Call and Out‑of‑Hours Engineering Support, • Maintain Cyclotrons and Supporting Systems (ACS and RNDS), • Delivers reliable Cyclotron Operations including training, repair, and maintenance (including management of repair parts inventory) of the two Siemens RDS Eclipse cyclotrons., • Operate and maintain Radionuclide Delivery System (RNDS) and the Air Compressing Station (ACS) based at the clinical imaging center., • High‑vacuum systems (leak detection, pumps, gauges), • RF systems and high‑voltage power supplies, • Mechanical maintenance, alignment, and troubleshooting. Radiation Protection & Compliance • Ensure Safety, Compliance, and Regulatory Adherence, • Support Continuous Improvement and Technical Development, • Radiation protection, monitoring, and ALARP principles Documentation & Quality • Responsible for ordering and maintaining a list and inventory of Cyclotron spare parts., • Documentation control of all cyclotron vault area SOP’s ensuring accurate records of both environmental data and equipment condition are kept., • Excellent understanding of cyclotron physics and charged‑particle acceleration principles., • Good understanding of radionuclide production pathways and targetry., • Excellent interpersonal, verbal and written communication skills., • A flexible attitude with respect to work assignments and new learning., • Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail., • Ability to identify and implement process improvements., • Proactively participates in skills improvement training and encourages their teams to participate., • Ability to coach others to succeed in enhancing individual and professional development. Sharing knowledge, skills, and expertise to others., • A minimum of a degree (or equivalent) in electronics and/or mechanical engineering or related technology., • 5+ years’ experience in PET cyclotron operation and maintenance., • The ability to work independently and in a team environment., • Self-motivated with excellent troubleshooting skills., • Knowledge of working with radioactive materials is essential., • Understanding and adherence to safety rules, • English: Fluent., • The role covers night shift operation on a rotating basis and provides out-of-hours on-call engineering support for Cyclotron Operators., • Complimentary allocated parking provided on-site #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end to end, from statement of work (SOW) through production deployment. As a Manager of Technical Deployment in EMEA, you lead a team of TDLs embedded with strategic customers. You own engagement portfolio health across your team, set the bar for delivery quality, and define where we play: which customers and which use cases are ready for production AI today. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the region. This role is based in London. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in front of executive sponsors. You will also lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. • Hire, develop, and retain a team of TDLs embedded in engagements across EMEA. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interview loop that holds that bar., • Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room., • Define the delivery strategy for your portfolio: which kinds of companies we engage, which use cases we prioritize, and how that differs by market and industry. Hold each TDL accountable for a clear account strategy: what we want to achieve with the customer and the exit gates that tell us we got there., • Own portfolio health across your team. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team., • Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic with senior business, risk, legal, and engineering leaders., • Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes., • Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from SOW through production deployment., • Set the bar for delivery excellence: SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story., • Build regulatory requirements into how the team scopes and delivers, working with Legal, Security, and customer risk functions, so compliance shapes the plan from the start rather than blocking it late., • Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale, and adapt global playbooks to EMEA markets., • Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on EMEA go-to-market materials, reference cases, and positioning., • Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and feed the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes., • Bring the field back to Anthropic. Surface delivery lessons and emerging use cases from EMEA to Product and Research, and represent the region in leadership discussions., • Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments., • Travel to customer sites across EMEA (25–50% expected), with occasional travel to the US., • Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher and moved into deployments, with at least 3 years directly managing people who owned delivery outcomes., • Have a track record of building and leading technical delivery teams in enterprise environments across more than one EMEA market, ideally including embedded or forward-deployed teams working at client sites., • Have delivered AI/ML or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments., • Bring depth in at least one industry (e.g., financial services, healthcare and life sciences). You understand how security, compliance, and regulatory review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering., • Know the EMEA enterprise landscape: how buying and procurement differ across markets, and how regulatory requirements affect what customers can deploy., • Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic., • Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement., • Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage., • Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands-on engagement review with your team., • Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. Working proficiency in a second European language such as German or French is a plus. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £190,000 - £230,000 GBP • competitive compensation and benefits, • optional equity donation matching, • generous vacation and parental leave, • flexible working hours, • a lovely office space in which to collaborate with colleagues, • Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links-visit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process. #J-18808-Ljbffr

An opportunity to work at the intersection of AI and Business Messaging, one of Meta's key investment areas. As Meta accelerates its investment in AI-native business experiences, Meta Business Agent sits at the center of how businesses will discover, engage, and transact with customers in the future, and this role puts you at the heart of that transformation, working with next‑generation AI agents, LLMs, and conversational AI systems that are redefining how businesses connect with billions of people across Meta's messaging platforms. As a Technical Solutions Consultant (TSC) for Meta Business Agent, you will serve as a subject matter expert in the AI agent experience, acting as a technical bridge between our customers, support operations, and internal product and engineering teams. Your mission will be to resolve complex technical challenges related to AI agent behavior and configuration, drive operational excellence, influence product improvements through data‑driven insights, and ensure our customers can fully leverage Meta Business Agent to transform their customer engagement. • Deliver a high‑touch resolution experience for Meta's most strategic Business Messaging Partners, • Develop deep subject matter expertise across Meta Business Agent and the wider Business Messaging portfolio, • Break down and resolve complex, ambiguous, technical (Meta Business Agent, API integrations, Webhooks, delivery) issues for high‑touch customers using internal debug tools and log analysis to determine the root cause, • End‑to‑end issue resolution, filing bugs, documenting repro steps and partnering with cross‑functional partners to see the issue through to resolution, • Drive scale across the support funnel, enabling front‑line human and AI agents to resolve issues earlier and closer to the customer, • Act as a trusted advisor on the Meta Business Agent product, • Improve the end‑to‑end support funnel by optimizing internal and external support processes, • Refine the support agent's experience with clear resolution paths and feedback that improves ticket resolutions, • Maintain knowledge bases, documentation, and training materials so that support teams can effectively support emerging Meta Business Agent features and capabilities, • Identify common issues and develop reusable workarounds, documenting and sharing them to drive scale across the funnel, • Partner with XFN Product and Engineering on the go‑to‑market strategy for new Meta Business Agent features, covering product training and operational readiness, • Drive "shift left" initiatives that streamline and standardize support flows, moving resolution closer to the customer, • Turn front‑line signal into product impact: influencing the Meta Business Agent roadmap on behalf of customers, • Translate data, feedback, and customer signals into actionable insights that influence the Meta Business Agent roadmap, • Champion the VOTC, articulating pain points and turning them into measurable product improvements, • Build cross‑functional partnerships (Product Management, Engineering, Partnerships) aligning teams and holding them accountable for their deliverables, • Recommend tooling, processes, and signal improvements leveraging support performance data, • Run account health reviews, surfacing insights that improve account management and support effectiveness, • B.A. or B.S. in Business, Computer Science, Engineering, Digital Marketing, or a related field, or equivalent practical experience, • 5+ years of experience in an operations, support, technical solutions, or product role within a technical environment, • Working knowledge of web technologies (HTML, CSS, JavaScript, HTTP, APIs) with hands‑on technical troubleshooting experience, • Proven ability to translate technical concepts for both technical and non‑technical audiences, • Demonstrated experience in influencing outcomes and driving alignment across cross‑functional teams, • Experience in the CRM, messaging, conversational AI, or API‑based technology industries, • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • Familiarity with responsible, ethical AI practices (risk assessment, bias mitigation, quality and accuracy reviews), • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews), • Track record of using AI tools to redesign workflows and drive measurable impact (efficiency gains, quality improvements), • Experience in prototyping and building tools to improve job efficiency and effectiveness, • Track record of driving product improvements through customer insight and data‑driven advocacy, • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics. Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta. #J-18808-Ljbffr

Meta Security is looking for a threat intelligence investigator with extensive experience in investigating cyber threats with an intelligence-driven approach. You will be proactively responding to a broad set of security threats, as well as tracking actor groups with an interest or capability to target Meta and its employees. You will also be identifying the gaps in current detections and preventions by long-term intelligence tracking and research, and working with cross-functional stakeholders to improve Meta's security posture. • Track threat clusters posing threats to Meta's infrastructure and employees, and identify, develop and implement countermeasures on our corporate network, • Investigate, mitigate, and forecast emerging technical trends and communicate effectively with actionable suggestions to different types of audiences, • Work closely with incident responders to provide useful and timely intelligence to enrich ongoing investigations, • Improve the tooling of threat cluster tracking and intelligence data integration to existing systems, • Engage constructively in cross-functional projects to improve the security posture of Meta's infrastructure, such as red team operations, surface detection coverage expansion and vulnerability management discussions, • 3+ years threat intelligence experience, • Bachelor's degree in Computer Science, Information Security, or relevant field (or equivalent experience), • Familiarity with campaign tracking techniques and ability to convert the tracking results to long term countermeasures, • Familiarity with threat modeling framework, such as Diamond Model and/or MITRE ATT&CK framework, • Experience intelligence-driven hunting to spot suspicious activities in the network and identify potential risks, • Proven track record of managing and executing on short term and long term projects, • Ability to work with a team spanning multiple locations/time zones, • Ability to prioritize and execute tasks with minimal direction or oversight, • Ability to think critically and qualify assessments with solid communications skills, • Coding or scripting experience in one or more scripting languages such as Python or PHP, • Familiarity with malware analysis or network traffic analysis, • Experience authoring production code for threat intelligence tooling, • Experience conducting large scale data analysis, • Experience in one or more query languages such as SQL, • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), • Experience working across the broader security community, • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews), • Production of file-based or network-based rules and signatures for detection and tracking of complex threats, such as YARA or Snort, • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements), • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews), • Experience closely collaborating with incident responders on incident investigations, • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies, • Familiarity with nation-state, sophisticated criminal, or supply chain threats Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics. Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here. #J-18808-Ljbffr

Company Description We believe in the power of ingenuity to build a positive human future. Company Description We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Job Description We believe in the power of ingenuity to build a positive human future. We challenge where it matters and own the outcome. We combine strategic thinking, customer-centric service design, and agile engineering practices to accelerate innovation in a tech-driven world. Why consider joining our Digital & Data community? • Join our Digital & Data team working alongside product, design and a wide range of other experts and cross-disciplinary teams to bring ideas to life through innovative software solutions., • Grow a flexible and unique career within a trust-based, inclusive environment that values excellence, innovation, and curiosity. You have the option to progress with us on a technical career track. No need to go onto the Partner career track if this doesn’t align with what you want to do., • Hybrid working - our approach is to be in the office or on client site a minimum of 2 days per week., • Work on a broad variety of projects and tech stacks for clients across seven sectors - no project is ever the same, • Join other experts within our supportive and collaborative tech community through knowledge-sharing and peer-level support, coaching and mentoring, • Deepen your expertise through our culture of learning and growth – you’ll have budget to take courses (technical and non-technical training), plus gain certifications Our tech stack While we advocate for using the right tech for the right task, you can expect to work with the following technologies to ensure scalable, high-performance applications: What You Can Expect We are seeking an experienced Data Science consultant to join our team. The ideal candidate will have a strong background in data science, mathematical modelling and ML, with a focus on using advanced analytics techniques to support data centric decision making in both public and private sector organisations. • Work to agile best practices and cross-functionally with multiple teams and stakeholders. You’ll be using your technical skills to problem solve with our clients, as well as working on internal projects, • Live in-person whiteboarding sessions to problem solve as a team, alongside asynchronous communication on Teams, • Hybrid working with the team on client site or in our office a minimum of two days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site., • An environment that deeply cares about its values Values | PA Consulting, • We use a range of different tools and technologies depending on the specific task, these include: Data Bricks, Python, PySpark, R, Excel, Palantir Foundry and PowerBI. Qualifications Even if you don’t meet every requirement below, feel free to still apply as we are often hiring for similar roles which your background might be better suited to. • A degree, Masters or PhD from a leading university in data science, mathematics, operational research, physics, or statistics, • Experience of conducting analysis for evidence-based decision making, designing and developing models and conducting analysis to support data-centric decision making, • Experience working with clients to translate business needs into analytical approaches and solutions, and with strong ability to communicate approaches, and findings to technical and non-technical audience, • Experience of working across the full analytics and modelling lifecycle - problem formulation, exploratory data analysis, model design, build, testing and handover, • Experience working with common tools like python, SQL, Excel and data visualisation solutions for modelling and analysis., • Experience of leading and delivering solutions that involved one or more of the following specialisms: advanced analytics and data science, algorithm design and development, developing operational research models, data engineering, big data and Cloud platforms, data visualisation or dashboard development., • A genuine affinity for problem solving - an inquisitive mind who wants to solve the trickiest challenges whilst working with incredible colleagues Some nice to haves are: • Excellent stakeholder management, project management and communication skills. Experience working in or providing consulting and advisory services to stakeholders., • Experience in the software or product development lifecycle for analytical solutions, e.g. could include managing analytical solutions across the discovery, development/prototype, rollout, implementation and managed service stages, • Experience in the business process through client presentations and developing data and behavioural science propositions Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government’s guidance on security vetting before applying. Additional Information Assessment process Please note that the interview stages may be subject to change based on the specific requirements of the role. • Quick call with one of our Tech Recruiters – to discuss your application, the role and PA, • Round 1: Either a competency or technical interview (60 mins), • Round 2: Either a competency or technical interview, whichever you didn’t do at first round (60 mins), • Final round: Meeting with a PA leader - a mini case study and discussion around your client-centricity (60 mins) Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples’ working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world’s most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. Find out more about Life at PA here. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: • Health and lifestyle perks accompanying private healthcare for you and your family, • 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days, • Generous company pension scheme, • Opportunity to get involved with community and charity-based initiatives, • Annual performance-based bonus, • PA share ownership, • Tax efficient benefits (cycle to work, give as you earn) We’re committed to advancing equality. We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on #J-18808-Ljbffr

As part of our vision, we are seeking a talented Data Scientist to join our dynamic, expanding team. Over the last few years we’ve built a solid data foundation using best in class technologies (dbt, BigQuery, Airflow) and are just at the start of our journey to leverage this data in a more sophisticated way. Zapp is London’s leading premium convenience retail platform. Founded in 2020, our vision is to disrupt the multi-trillion dollar convenience retail market, currently dominated by major players, by developing best-in-class customer-centric technology and fulfilment solutions. Zapp partners with some of the world’s leading brands to deliver an exclusive range of hand-picked products 24/7, delivered in minutes. • Stakeholder Management: Help business leaders at Zapp understand and prioritise opportunities related to AI/ML, • End-to-End Development and Ownership: Own the lifecycle of new models from concept to deployment and monitoring, and continuously iterate., • Collaboration: Work closely with cross-functional teams to define, design, and implement new features, driving both business and technical excellence., • Code Quality: Write scalable, maintainable, and high-quality code while adhering to best practices for testing, deployment, and version control., • Minimum of 1-2 years of professional experience as a Data Scientist in a commercial setting., • Bachelor’s degree in Computer Science, Software Engineering, Mathematics, Physics, or a related field., • Expertise in Python and developing high-quality, scalable code, • Hands‑on experience with cloud platforms like GCP, AWS, or Azure, • Solid understanding of SQL, • Familiarity with version control (Git) and automated deployment pipelines (CI/CD)., • Past work in retail demand forecasting, • Experience working in a startup environment, • Experience with GCP/Vertex AIent Competitive salary & equity package. Enjoy 25 days of holiday per year (plus all bank holidays). Private Health Insurance. Extended sick pay and maternity/paternity leave pay. #J-18808-Ljbffr

Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting‑edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. As an Associate/ Vice President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business‑critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real‑world problems using your quantitative background and experience, this may be just the team for you. • Work with business leads to develop AI/ML‑driven analytics and automation that support their business goals, • Build up a scalable data architecture to handle the large volume of transaction data, • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management, • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints, • Drive projects end‑to‑end, from brainstorming, prototyping, data processing, data analysis to model development, • Make real‑world, commercial recommendations through effective presentations to various stakeholders, • Leverage data visualization to communicate quantitative insights to help business decision‑making, • Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward, • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc., • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application, • Experience in tackling real world data science problems, end‑to‑end from prototype to production, using Python, • Excellent communication skills (both verbal and written) and the ability to present findings to a non‑technical audience, • Passion for learning, sharing knowledge, building collaborations, and getting things done, • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub, • You demonstrate hands‑on experience in solving sequential decision making problems, • Experience in applying LLMs and/or deep learning methods to solve business problems, • Experience in working with Cloud and/or HPC environments We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants and employees' religious practices and beliefs, as well as mental health or physical disability needs. #J-18808-Ljbffr

Hello. We're Teya. Teya was founded on a simple belief: local businesses deserve better. They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business. Teya exists to change that. We're building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work. We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand. If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we'd love to hear from you We're looking for a Data Science Manager to build and lead the data science function within the Credit & Analytics team at Teya. You will own the credit risk, pricing and customer value models that underpin our lending products, and shape how data science drives decisions across our credit, acquiring and business account products. You will lead a team of data scientists, setting the modelling roadmap and the standards the team works to, while staying hands‑on with the most complex and commercially important problems. You will take ownership of the full model lifecycle, from problem formulation and data exploration through to deployment in our credit decisioning system and ongoing performance management. Working closely with Credit Strategy, Product, Finance, Engineering and Data Engineering, you will make sure our models are statistically sound, operationally robust and commercially meaningful. Your work will directly influence credit decisions, pricing and portfolio performance as we launch new lending products to small businesses across multiple geographies. You will also grow the team. That means hiring strong data scientists, developing them through coaching and clear feedback, and building a culture of rigour, ownership and impact. This is an excellent opportunity for an experienced credit modeller who wants to lead a team and make a measurable impact in a fast-growing fintech. Team leadership: Lead, mentor and develop a team of data scientists. Set clear goals, run regular 1:1s and performance conversations, and create an environment where people do their best work. Hiring: Own hiring for the data science team, defining the profiles we need, running rigorous interview processes and raising the bar with every hire. Strategy and roadmap: Translate Teya's credit and commercial priorities into a clear data science roadmap. Prioritise the work that will have the biggest impact and communicate trade-offs to senior stakeholders. Model development: Lead the development of credit risk models, risk-based pricing engines and customer lifetime value frameworks. Stay hands‑on with the most complex modelling problems and review the team's work for statistical soundness. Decisioning framework: Shape the overall framework for making credit decisions, incorporating data, models, calculators and rules. Partner with Product, Engineering, Data Engineering and Credit Strategy to bring it into production. Model governance: Own best practice across the model lifecycle, including documentation, validation, testing, monitoring and governance, so our models stand up to internal and regulatory scrutiny. Innovation: Identify and assess new internal and external data sources and modelling techniques that give Teya a competitive edge in how we assess and price risk. Stakeholder influence: Present models and their business impact to non-technical audiences, up to leadership and the executive committee, and turn modelling outputs into clear, actionable recommendations. • 7+ years' experience in data science or quantitative modelling, with strong hands‑on experience in credit risk modelling, ideally in SME lending within a fast‑paced environment (fintech, scale‑up etc.)., • 2+ years' experience leading or managing data scientists, including hiring, coaching and developing team members., • Degree in a quantitative field such as Mathematics, Statistics, Physics, Engineering or a related discipline. Advanced degree is a plus., • Excellent applied quantitative skills, including machine learning techniques and a sound understanding of statistical model validation., • Strong proficiency in Python and SQL, and experience deploying models into production alongside engineering teams., • Proven track record of leading models through the full lifecycle, from problem definition to deployment, monitoring and improvement., • Strong commercial judgement, with the ability to connect modelling work to credit performance, pricing and business strategy., • Excellent communication and stakeholder management skills, with the confidence to influence senior stakeholders across technical and non-technical teams., • Familiarity with lending economics is a plus - expected loss, risk‑adjusted returns, cohort repayment curves, NPV or customer lifetime value., • We trust you, so we offer flexible working hours, as long as it suits both you and your team., • Physical and mental health support through our partnership with WellHub, giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness and nutrition apps., • Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support., • Cycle-to-Work Scheme., • Health and Life Insurance., • Pension Scheme., • 25 days of Annual Leave (plus Bank Holidays)., • Office snacks every day., • Friendly, comfortable, and informal office environment in Central London. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us. #J-18808-Ljbffr

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. As our Delivery Operations Manager, you will be at the centre of how we deploy and grow our Delivery teams as PhysicsX scales. You will bring together live and forward-looking input from Account Leads, Tech Leads, Commercial and Talent, combining it with accurate allocation and capacity data to build clear, decision-ready views, recommendations and tracked actions. From balancing competing project needs to managing bench, surge, skills gaps and upcoming transitions, you will help ensure the right people are deployed to the right work at the right time. This is a highly collaborative and hands‑on role, combining strong stakeholder management with operational rigour and confidence working with data. You will run and continually improve the end‑to‑end staffing process, maintain dependable resource‑planning information, support the onboarding of new joiners and help translate future demand into hiring priorities. Over time, you will become the trusted owner of staffing operations and capacity insight, introducing clearer processes, better workflows and greater visibility across Delivery. • Synthesis of live and forward-looking needs from Delivery / Account teams, turned into clear, decision-ready outputs that help leaders make staffing calls and drive follow‑through:, • Account Leads: future account plans, project timing, and changing customer priorities, • Tech Leads (e.g. bi‑weekly sync): live staffing needs, team roles and skills fit, upcoming transitions, and delivery risks, • Commercial: pipeline and capacity - likelihood and timing of new work, and whether it can be staffed in the short and medium term, • Talent: staffing theses, upcoming joiners, and hiring priorities - why someone was hired, what for, and which future skills gaps are emerging, • Synthesis of all of this into clear staffing requirements, options, and unresolved decisions, • Updating and maintaining resource planning tools (Operating):, • Allocation data, including start/end dates and planned changes, • Project Tech Lead and relevant ownership, • Allocation type: Direct (SoW), Investment, Account Resource Pool, or Surge (temporary), • Timely capture of staffing decisions so the data stays dependable and traceable, • Monitoring resource planning tools and proactively driving issues to resolution:, • Bench levels (too high/low) and utilisation (Allocations / Headcount), • Surge: how many people, for how long, and whether they should rotate, • Project balance (overstaffed and understaffed), • Demand feasibility (headcount vs. demand), • Time-to-staff, skills gaps, and upcoming project transitions, • Investigation of exceptions, with clear options, trade‑offs, and recommended actions, • Staffing scenarios, recommendation notes, and prioritisation views that lead to decisions and action, • Onboarding of new joiners:, • Point of contact for Delivery onboarding, for both new joiners to the company and new joiners moving onto projects, working with project teams so they have what they need to get up to speed quickly, • Coordinating and maintaining broader Delivery onboarding documentation with the wider Delivery team, keeping it accurate and current You'll also grow the role by: • Proposing clearer prioritisation principles for when demand exceeds available capacity, • Partnering with Talent to translate expected demand into recruitment priorities - by role, skills, and timing, • Improving and automating workflows from onboarding through allocation, rotation, and transition, • Improve and propose clear prioritisation principles for situations where demand exceeds available capacity, • Partner with Talent to translate expected demand into recruitment priorities by role, skills, and timing, • Improve and automate workflows from onboarding through project allocation, rotation, and transition You've got 2-3+ years in a demanding, multi-functional environment - likely strategic operations, resource management, staffing, workforce planning, or something closely adjacent. You're equally comfortable in a CRM or staffing/ERP system, a spreadsheet, or a BI tool, and you know how to work across teams with competing priorities without losing the thread. You communicate clearly in both directions - up to leadership, across to stakeholders - laying out decisions, options and constraints so nobody's guessing. You've probably worked in an enterprise‑platform business that blends product and services, or in fast‑paced consulting or professional services. And you've got real evidence of tightening up a process and using data to change how a decision got made, not just talking about it. What matters more than years on paper is whether you're ready for the seniority this role demands - whether that's someone a few years in and moving fast, or someone more experienced stepping into full ownership. What we're looking for: • People-first, data‑fluent - roughly a 60/40 split. You genuinely enjoy the conversations, gathering signal and building context, and you're just as sharp with the numbers and charts behind them., • Strong negotiator and diplomat. You influence without formal authority and get stakeholders with competing priorities to align., • Precise and meticulous. You keep systems accurate and current, and you're proactive about being exact in how you communicate., • Confident with data - not necessarily a programmer, but sharp with spreadsheets, analysis and reporting., • Able to turn incomplete or conflicting information into clear choices, trade‑offs and recommendations, and follow them through to action., • Genuinely curious about what makes PhysicsX's engineering customers different - role to role, industry to industry, project to project., • Comfortable navigating an organisation with multiple reporting lines and competing agendas - Tech Leads, Account Leads, Commercial, People, Talent, Finance., • Hands‑on, and energised rather than drained by ambiguity and a fast‑changing environment. Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real‑world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high‑caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work‑from‑home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there ... Equity options- share meaningfully in the company you’re helping to build. 10% employer pension contribution- because investing in future matters. Free office lunches- to keep you energised and focused. Enhanced parental leave- 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme- to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays)- because taking time to rest matters. Private medical insurance- 100% employee cover, giving you complete peace of mind. Wellhub Subscription- gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests- because good work depends on good health. Personal development- dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP)- confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan- to make getting to work easier and greener. Octopus EV salary sacrifice- for a simpler, more sustainable way to drive electric. Watch this space, we’re continuing to build this as we grow... We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. #J-18808-Ljbffr

Re-architecting Engineering for the Age of Intelligence PhysicsX is the physics AI company for industrials. The company’s mission is to accelerate hardware innovation by overhauling what industrial engineering and manufacturing look like today. PhysicsX is building a new simulation software stack to deliver deep physics AI enablement across the entire engineering lifecycle. The company partners with leading organisations in aerospace & defence, automotive, semiconductors, materials, and energy & renewables, supporting them on some of their most critical and complex challenges. PhysicsX is headquartered in the United Kingdom, with offices in London, New York, and Singapore and an expanding presence in the Bay Area. As a Machine Learning Engineer in Delivery, you are a problem solver and builder who is passionate about creating practical solutions that enable customers to make better engineering decisions. You are someone who can grasp advanced engineering concepts across multiple industries, and you excel at working directly with customers (and often side‑by‑side with them on-site) to build, deploy and maintain production‑grade ML tools that are useful, and used. You design, build, and test reliable, scalable machine learning pipelines, and you know when to explore and manipulate 3D point‑cloud and mesh data to enable geometry‑aware modelling. You create analytics environments and resources in the cloud/on‑prem that span data science, selecting the right libraries, frameworks and tools while making pragmatic product decisions that set delivery up for success. You thrive at the intersection of data science and software engineering, translating project outputs into tooling and products. With at least 1 year industry experience (post Masters or PhD) in a commercial, non‑research environment, you’re ready to hit the ground running. You’re truly excited about growing your technical expertise and are naturally inclined to take ownership of MLE pipelines, continuously improving the systems and solutions you work on to ensure they are practical, impactful and meet the evolving customer needs. In this role, you’ll work closely with our customers, as well as our team of Simulation Engineers, Data Scientists, and Software Engineers, to understand and define the engineering and physics challenges we are solving. You’ll build the foundations for successful, impactful solutions by: • Designing, building and testing data/ML pipelines, that are reliable, scalable and easily deployable in production environment., • Productionising ML models and surrogates with clear validation, error analysis, • Exploring and manipulating 3D point‑cloud and mesh data, applying graph/geometry‑aware techniques where appropriate, • Working closely with simulation engineers to ensure seamless integration of data science models with simulations., • Engaging in open communication and presentation with both technical teams and customers, helping onboard users and co‑develop with customers., • There is a requirement to travel to customer sites in North America, Europe, Asia, Oceania, an average of 3-4 weeks per quarter, where you’ll collaborate closely with customers to build solutions on site. As the role evolves, there are exciting opportunities for growth as a technical lead, perfect for someone who is driven by taking ownership of more complex projects and leading the direction of future solutions. We operate on a hybrid model, with around three days per week based in our Shoreditch office. What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real‑world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high‑caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win- wherever they come from. Questioning assumptions and challenging the status quo isn’t just welcomed, it’s expected. Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our Shoreditch office with work-from-home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … • Equity options- share meaningfully in the company you’re helping to build., • 10% employer pension contribution- because investing in future matters., • Free office lunches- to keep you energised and focused., • Enhanced parental leave- 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most., • YellowNest nursery scheme- to help working parents manage childcare costs., • 25 days of Annual Leave (+ Public Holidays)- because taking time to rest matters., • Private medical insurance- 100% employee cover, giving you complete peace of mind., • Wellhub Subscription- gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing., • Eye tests- because good work depends on good health., • Personal development- dedicated support for learning, development, and leveling up over time., • Employee Assistance Programme (EAP)- confidential wellbeing support, available whenever you need it., • Bike2Work scheme and Season ticket loan- to make getting to work easier and greener., • Octopus EV salary sacrifice- for a simpler, more sustainable way to drive electric. Watch this space, we’re continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. #J-18808-Ljbffr

This position will be posted for a minimum of five calendar days internally. All internal applicants are required to inform your current supervisor/manager prior to applying. Internal applicants are required to be in "good standing" in your current role, which is defined as a performance rating of “met all objectives” or higher. You cannot be on a current performance improvement plan or written warning for any reason and must have been in your current role for a minimum of 6 months, unless otherwise approved for an early transfer by your current leader and the People Department. Your opportunity • Work directly with Alternatives Portfolio Managers to build and support cloud-native applications, data services, APIs, and platform capabilities, while enabling the investment team to develop and automate their own workflows using modern engineering tools and frameworks., • Collaborate closely with the Team Lead, Technical Lead, and wider engineering team to deliver solutions in line with business and project priorities., • Partner with the Team Lead and Technical Lead to ensure all solutions align with the strategic technology architecture, engineering standards, and long-term platform vision., • Perform hands‑on software development, testing, deployment, and support, adhering to established engineering practices, governance standards, and delivery processes., • Engage directly with investment teams throughout the full delivery lifecycle, from requirements gathering and solution design through to implementation and ongoing support., • Contribute to the continuous improvement of the Alternatives technology platform, identifying opportunities to improve automation, scalability, reliability, and user experience., • Provide support for Alternative Investments‑specific applications, platforms, and business processes., • Undertake additional responsibilities and duties as required. What to expect when you join our firm • Hybrid working and reasonable accommodations, • Generous Holiday policies, • Excellent Health and Wellbeing benefits including corporate membership to ClassPass, • Paid volunteer time to step away from your desk and into the community, • Support to grow through professional development courses, tuition/qualification reimbursement and more, • All-inclusive approach to Diversity, Equity and Inclusion, • Maternal/paternal leave benefits and family services, • Complimentary subscription to Headspace – the mindfulness app, • All employee events including networking opportunities and social activities, • Lunch allowance for use within our subsidized onsite canteen Must have skills • Client-focused, committed to excellence, detail-oriented, and highly collaborative, • Craftsman-like approach to building software; takes pride in engineering excellence and instils these values across engineering teams., • Strong software engineering background with proven experience delivering production‑grade applications and platforms., • Expert-level Python development skills, including design, development, testing, deployment, and support of business‑critical applications and data services., • Strong experience with Python libraries and frameworks such as Pandas, NumPy, PySpark, FastAPI, or equivalent., • Proven experience designing, building, and operating cloud-native solutions on Azure (preferred), AWS, or similar cloud platforms., • Experience building scalable data platforms, data pipelines, APIs, integration services, and event‑driven architectures., • Strong understanding of distributed computing and large-scale data processing., • Experience implementing software engineering best practices including source control, code reviews, automated testing, CI/CD, DevSecOps, and Infrastructure as Code., • Strong SQL and database skills, with experience working across operational, analytical, and cloud-based data platforms., • Demonstrable passion for technology through personal projects, open‑source contribution, continuous learning, or technology leadership., • Inspires cross‑functional teams towards common goals and objectives. Uses influence to align stakeholders and drive technology adoption and organisational change., • Intellectually robust with a keen analytical approach to problem solving and technology decision‑making., • Self‑organised with the ability to manage delivery across multiple initiatives and competing business priorities., • Focused on delivering measurable business value through automation, simplification, modernisation, and process improvement., • Strong interpersonal skills; able to establish and maintain close working relationships with engineering teams, operations teams, portfolio managers, risk teams, and senior business stakeholders., • Confident communicator; able to explain complex technical concepts, architectural decisions, and delivery trade‑offs to both technical and non‑technical audiences., • Strong ownership mentality; takes responsibility for problems and drives pragmatic solutions through to completion. Nice to have skills • Investment Management experience with exposure to front‑office, middle‑office, risk, data, or investment platform technologies., • Experience supporting Alternative Investments, Hedge Funds, Private Markets, Multi‑Asset, or Derivatives businesses., • Experience working directly with Portfolio Managers, Traders, Investment Operations, Risk, and Quantitative teams., • Experience with Databricks, Snowflake, Microsoft Fabric, or comparable modern data platforms., • Experience with workflow orchestration technologies such as Airflow., • Experience implementing Infrastructure as Code using Terraform or equivalent tooling., • Experience with containerisation technologies such as Docker and Kubernetes., • Understanding of real‑time messaging, event‑streaming, and integration technologies such as Kafka., • Experience building and consuming REST, GraphQL, or event‑driven APIs., • Experience with Azure data services and cloud architecture patterns., • Knowledge of C#, Angular, or other modern application development technologies., • Strong understanding of Agile delivery methodologies and product‑oriented operating models., • Degree educated in Computer Science, Engineering, Mathematics, Physics, or a related scientific discipline. Supervisory responsibilities • No Potential for growth • Mentoring, • Leadership development programs, • Regular training, • Career development services, • Continuing education courses You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. At Janus Henderson Investors we’re committed to an inclusive and supportive environment. We believe diversity improves results and we welcome applications from all backgrounds. Don’t worry if you don’t think you tick every box, we still want to hear from you! We understand everyone has different commitments and while we can’t accommodate every flexible working request we’re happy to be asked about work flexibility and our hybrid working environment. If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance. Benefits: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here. People Business Partner: Tanya Temchenko Hiring Manager: Jack Goss Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion). You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities. Applicants’ past political contributions or activity may impact applicants’ eligibility for this position. You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role. #J-18808-Ljbffr

Job Summary Are you fascinated by high-paced algorithmic trading, data science and complex engineering systems? The Execution Solutions team sits at the heart of our European Electronic Trading business, working closely with clients, Sales, Trading, Engineering and Quantitative Research to improve our platform’s performance. As an Analyst/Associate in our dynamic team, you will work directly with some of the most sophisticated investors in the world like asset managers, hedge funds and systematic quant funds, helping them understand and improve how their trading strategies perform. You will dig into large datasets, structured and unstructured, uncover hidden trends and turn them into actionable recommendations for clients to run live experiments on. You will also contribute to researching and publishing differentiated in-depth analysis of liquidity as European market structure evolves. Job Responsibilities • Independently perform Transaction Cost Analysis (TCA) to monitor clients’ performance, identify improvements to existing products, present data-driven recommendations at client reviews and maintain clients’ technical setups and configurations., • Know the ins and outs of our algorithms, trading systems and proprietary trading signals to showcase the value of our product offering., • Improve and expand existing tooling for data analysis and trend detection as new needs and use cases arise, leveraging AI and our automation frameworks., • Research how liquidity and market structure evolve across European markets, and turn that into thought-leadership content clients can rely on. Required Qualifications and Skills • A genuine interest in markets and equity electronic/algo trading – Europe a plus., • Strong analytical skills and ability to draw insights from large, raw datasets., • Hands‑on coding experience – KDB/q, Python or SQL preferred, but strong ability in any programming language is welcome., • Ambitious, with excellent communication and team‑working skills., • Familiarity with business intelligence software QlikView, Tableau or Power BI, • Prior exposure to TCA, European market microstructure or other electronic execution concepts., • Backgrounds we welcome: finance, but also physics, maths, computer science or engineering. Preferred Qualifications and Skills • Familiarity with business intelligence software QlikView, Tableau or Power BI, • Prior exposure to TCA, European market microstructure or other electronic execution concepts., • Backgrounds we welcome: finance, but also physics, maths, computer science or engineering., • Job Identification 184165, • Job Category Associate, • Posting Date 09/23/2026, 04:06 PM, • Locations London, Greater London, England, United Kingdom Healthcare & Medical Services We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally We offer competitive vacation policies based on employee level and office location. We promote time off from work to recharge by providing generous vacation entitlements and a minimum of three weeks expected vacation usage each year. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees’ priorities. Health We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). We offer on-site child care centers that provide full‑time and emergency back‑up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs #J-18808-Ljbffr

Job DescriptionMechanical(Electro-mechanical) R&D Engineer up to £c50k + BonusABJ6733Perm Hybrid 3:2An exciting opportunityhas arisen for an experienced mechanical / electro mechanical Research & Development Technology Engineer to join an innovative engineering and R&D team focused on developing new products.As a mechanical engineer or electro mechanical engineer you will work at the front end of research and development, where you will transform early-stage ideas into working proof-of-concept devices. A mechanical engineer you will play a key role in exploring new technologies through creative problem-solving, rapid prototyping, experimental testing, modelling and engineering analysis.As electro mechanical engineer this role is about developing entirely new technologies, reducing technical risk and generating the engineering evidence needed to support future product development.As mechanical engineer you will collaborate with multidisciplinary teams including engineering, industrial design, science, prototyping, product stewardship, project management and external technology partners. • Lead front-end R&D technology workstreams from concept through to technical proof of feasibility., • Design, build and develop proof-of-concept devices, prototypes, test rigs and experimental equipment., • Apply first-principles engineering, physics, modelling and practical engineering judgement to solve complex technical challenges., • Plan, execute and analyse experimental testing programmes, using results to refine designs and guide future development., • Produce engineering calculations, modelling and technical analysis to support design decisions., • Identify technical risks and implement practical solutions to reduce uncertainty., • Work closely with internal specialists, suppliers and external technology partners to accelerate innovation., • Support intellectual property awareness by identifying potential patent opportunities and maintaining confidentiality of technical developments., • Present technical findings through reports, presentations, design reviews and engineering documentation., • Capture and document technical learning to enable successful transfer into future product development programmes., • Degree in Mechanical Engineering, Product Design, Electro-Mechanical Engineering or Physics, • Experience within an engineering R&D, technology development or product innovation environment., • Very desirable - experience with Siemens NX / types of products or projects you used it for., • Experience using 3D CAD solid works AutoCAD and engineering drawings., • Developing new technologies with hands-on prototyping capability, • Hands-on prototyping, mechanical assembly and experimental engineering., • Designing, modifying and troubleshooting prototype hardware, fixtures or test equipment., • Applying engineering calculations, physics, modelling or simulation to solve technical problems., • Managing technical work packages or small engineering projects with minimal supervision., • Understanding of rapid prototyping and manufacturing techniques., • Strong analytical skills supported by engineering calculations or modelling. Full Time Permanent • V Competitive base salary up to 50k + 30 % Bonus, Private Health Insurance, Pension 20% #J-18808-Ljbffr

Recruit4Staff is proud to be working with their client, a leading UK designer & manufacturer, in their search for a permanent HVAC Engineer to work in their Shropshire head office. What our client is offering for the successful HVAC Engineer: Salary: Up to £62,000 (Depending on experience) Hours of work: 8:00am - 5pm Monday to Friday but flexibility daily is required Permanent position 25 Days holiday + Bank Holidays Life Insurance Company van Tools for each job will be provided Door to door pay Paid rest time following any night works Company pension Company events Store discounts The Role - HVAC Engineer: Install and commission commercial HVAC and air conditioning systems Fit VRV/VRF, split, and packaged air conditioning units Install refrigeration pipework, drainage, ventilation, and ductwork Read and interpret technical drawings and installation schematics Perform pressure testing, evacuation, and system commissioning Work with project teams to deliver installations safely and on schedule Ensure all work meets manufacturer specifications and industry standards Complete digital job reports and maintain accurate paperwork Support site setup, material management, and commissioning activities Follow RAMS, health and safety procedures, and working at height protocols What our client is looking for in an HVAC Engineer; F-Gas Certification (Category 1 or equivalent) - ESSENTIAL NVQ / C&G Level 2 or Level 3 in Refrigeration & Air Conditioning (or equivalent experience) - ESSENTIAL Proven experience installing commercial HVAC / air conditioning systems - ESSENTIAL Experience installing VRV/VRF and split systems - ESSENTIAL Ability to read and interpret technical drawings and installation schematics - ESSENTIAL Full UK Driving Licence (Manual) - ESSENTIAL Asbestos Awareness - ESSENTIAL Experience using electronic devices (e.g. tablets) for reporting and communication - ESSENTIAL Willingness to travel nationwide and stay away from home where required - ESSENTIAL Flexible approach to working hours, including night work where required - ESSENTIAL IPAF (PASMA) / Working at Height certification - DESIRABLE CSCS / Skill Card (HVAC or Mechanical) - DESIRABLE Experience working on commercial building services projects - DESIRABLE Experience installing ventilation or ductwork systems - DESIRABLE Electrical awareness or experience working alongside controls / BMS systems - DESIRABLE Key skills or similar Job titles as the HVAC Engineer: Mechanical Engineer (HVAC), Building Services Engineer, Building Systems Engineer, Mechanical Building Services Engineer, MEP Engineer, Facilities Engineer, HVAC Design Engineer, Building Services Design Engineer, Mechanical Design Engineer, Applications Engineer (HVAC), Building Performance Engineer, Energy Engineer, Sustainability Engineer, Commissioning Engineer, Building Physics Engineer, HVAC Project Engineer, Mechanical Project Engineer, HVAC Installation Engineer, Site Engineer (Mechanical), MEP Project Engineer, Project Manager (HVAC), Contracts Engineer, HVAC Maintenance Engineer, Facilities Maintenance Engineer, Building Maintenance Engineer, Service Engineer, Field Service Engineer, Reliability Engineer, Asset Engineer, BMS Engineer, Controls Engineer, Building Automation Engineer TPBN1_UKTJ

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. BMI, part of the Fitch Group, is currently seeking a Data Scientist based out of our London office BMI's systematic, independent, and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions. At BMI, we’re proud of the work we do to help our clients manage risks and opportunities in global markets, which began in 1984 and continues to this day. By stepping into a role here, you will help shape the strategic decisions of the world’s leading organizations. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with industry experts, thought leaders, and visionary executives, collectively working towards shaping the future of businesses that span a multitude of sectors. Our people are at the heart of everything we do, and we continuously strive to offer our colleagues a great place to work, with opportunities to learn, innovate, develop their careers, and serve the community. Want to learn more about a career at BMI? Visit: _ About the Team BMI's team integrates cross-domain expertise (Economics, Politics, 20+ industries, ESG, Commodities) and computer science to create systematic country risk analytics that are transparent and can be validated. We build and maintain robust models that our customers use to identify and manage country risks. Joining as a Data Scientist to support risk research and analysis, you will help shape the strategic decisions of the world’s leading organizations. Candidates will have the opportunity to explore, analyze, and write about our proprietary risk data for different use cases and aid in product development. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across risk management and other domains. As a Data Scientist, you will design, build, and deploy quantitative models that power advanced analytics and insights for our clients. You will work closely with country analysts, industry analysts, economists, political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise will help us innovate and adapt our modeling frameworks to address diverse customer needs in a fast-paced, collaborative environment. How You’ll Make an Impact: • Prototype and test new approaches for extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset Managers, • Develop and maintain robust ML and data pipelines for experimentation and deployment., • Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process., • Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers., • Explain ML/NLP model outputs and methodologies to non-technical stakeholders. You May be a Good Fit if: • Substantial experience querying, cleaning, compiling, and analyzing big data., • Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models., • Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required., • Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.)., • Proven experience developing, refining, and monitoring NLP models., • Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required., • Understanding model evaluation methods and metrics., • Ability to operationalize non-technical ideas into relevant research designs, features, and model outputs., • Familiarity with experiment tracking and model management tools (e.g., DVC, Weights & Biases)., • Demonstrated experience with interpretable AI techniques. What Would Make You Stand Out: • Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake)., • Advanced degree in a quantitative subject, e.g. Mathematics, Physics, Engineering, Data Science, Machine Learning., • Experience of software engineering in an enterprise environment., • The ability to write production-grade code and to use coding assistants in a responsible manner., • Familiarity with DevOps practices and tools., • Hands-on experience with experimentation and model tracking tools (e.g., MLFlow, Weights & Biases)., • Demonstrable impact of technical solutions or projects on decision-making., • Experience working in fast-paced, agile environments., • Customer-facing experience, notably in understanding end user needs and building collaborative relationships. Why Choose Fitch: • Hybrid Work Environment: 3 days a week in office required, • A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity, • Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals, • Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing, • Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively, • Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe, • Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent, and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-TD1 #LI-Solutions #LI-Hybrid

Who We Are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. Who We Are Helsing is a defence AI company. Our mission is to protect our democracies. We aim to achieve technological leadership, so that open societies can continue to make sovereign decisions and control their ethical standards. As democracies, we believe we have a special responsibility to be thoughtful about the development and deployment of powerful technologies like AI. We take this responsibility seriously. We are an ambitious and committed team of engineers, AI specialists and customer-facing programme managers. We are looking for mission-driven people to join our European teams – and apply their skills to solve the most complex and impactful problems. We embrace an open and transparent culture that welcomes healthy debates on the use of technology in defence, its benefits, and its ethical implications. The role Join our GPU simulation team and build the simulator that trains our reinforcement-learning agents for air autonomy. You will shape the simulator that turns complex air-combat scenarios into learning environments at scale, model the physics behind air combat, and support the transfer of those policies to the real aircraft. Your work will span flight model fidelity, scaling to thousands of parallel environments, and the training tooling that makes it all possible. This role sits at the meeting point of AI, GPU computing and physics-based simulation, with room to grow into a leadership position as the team matures. The day-to-day • Build, extend, and scale our GPU-based simulator to train reinforcement-learning agents across thousands of parallel environments, • Develop the tooling that underpins RL training, including domain randomisation, to improve sim-to-real generalisation, • Improve the fidelity and performance of simulation models, from flight dynamics to sensing, • Enable sim-to-real transfer by supporting the export of trained policies and assets into downstream simulators and, ultimately, onto physical hardware, • Collaborate with AI specialists and engineers to align the simulator with training needs and mission-relevant outcomes You should apply if you • Hold an MSc or PhD in Computer Science, Machine Learning, Robotics, Control Engineering, or a closely related field, • Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust or modern C++, and have experience deploying software to production including testing, and monitoring, • Bring depth in at least one of the following: GPU programming, high-performance simulation, physics or flight-dynamics modelling, or navigation and control, • Own high-quality, maintainable code and shape the shared library and ecosystem that the wider team builds on, • Care about our mission and want your work to have real operational impact Note: We operate in an industry where women, as well as other minority groups, are systematically under-represented. We encourage you to apply even if you don’t meet all the listed qualifications; ability and impact cannot be summarised in a few bullet points. Nice to Have • Have solid AI knowledge and can reason about how models are trained and evaluated, • Have knowledge breadth across the specialist areas above, for example combining GPU programming with simulation environment design, • Have deep GPU expertise, such as writing and optimising CUDA kernels, or expertise in libraries such as Taichi, NVIDIA Warp/CuteDSL, Triton or Helion Join Helsing and work with world-leading experts in their fields • Helsing’s work is important. You’ll be directly contributing to the protection of democratic countries while balancing both ethical and geopolitical concerns, • The work is unique. We operate in a domain that has highly unusual technical requirements and constraints, and where robustness, safety, and ethical considerations are vital. You will face unique Engineering and AI challenges that make a meaningful impact in the world, • Our work frequently takes us right up to the state of the art in technical innovation, be it reinforcement learning, distributed systems, generative AI, or deployment infrastructure. The defence industry is entering the most exciting phase of the technological development curve. Advances in our field of world are not incremental: Helsing is part of, and often leading, historic leaps forward, • In our domain, success is a matter of order-of-magnitude improvements and novel capabilities. This means we take bets, aim high, and focus on big opportunities. Despite being a relatively young company, Helsing has already been selected for multiple significant government contracts, • We actively encourage healthy, proactive, and diverse debate internally about what we do and how we choose to do it. Teams and individual engineers are trusted (and encouraged) to practise responsible autonomy and critical thinking, and to focus on outcomes, not conformity. At Helsing you will have a say in how we (and you!) work, the opportunity to engage on what does and doesn’t work, and to take ownership of aspects of our culture that you care deeply about What we offer • Competitive salary and VSOP options, • Relocation support: up to €2,500 and 4 weeks temporary accommodation, • Learning: €500/£450 yearly allowance, • Health & wellness: gym membership and mental health support (Nilo.health), • Social: regular company events and monthly social allowances, • Enhanced parental leave: 22 weeks fully paid for primary caregivers & 6 weeks for secondary caregivers, • Family support: 5 days of paid family emergency leave, 100% remote work option during pregnancy and phased return to work, • A hands-on onboarding program (affectionately labelled “Infraduction”), in which you will be building tooling and applications to be used across the company. This is your opportunity to learn our tech stack, explore the company, and learn how we get things done - all whilst working with other engineering teams from day one (Specifically for engineering and AI) These are the core benefits across all locations, there may be additional benefits in certain locations. Helsing is an equal opportunities employer. We are committed to equal employment opportunity regardless of race, religion, sexual orientation, age, marital status, disability or gender identity. Please do not submit personal data revealing racial or ethnic origin, political opinions, religious or philosophical beliefs, trade union membership, data concerning your health, or data concerning your sexual orientation. Helsing's Candidate Privacy and Confidentiality Regime can be found here. Helsing's Candidate Privacy and Confidentiality Regime can be found here. #J-18808-Ljbffr

At Graphcore, we’re building the future of AI compute. We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence. As a research engineer at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialized hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware‑aware AI algorithms and AI‑aware hardware developments will continue to be critical to advancing this exciting field. We are therefore looking for individuals who combine strong machine learning experience with practical engineering skills to deliver impactful AI research. We are seeking AI researchers with strong software engineering experience, particularly in lower‑level programming and performance optimisation for hardware efficiency. Our research spans a broad range of topics, including efficient training and inference, world models, life sciences, reinforcement learning, and beyond. You will work closely with researchers to generate ideas and translate them into scalable implementations, contributing to publications and projects that help to steer the future of AI hardware. Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world. We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence‑ and graph‑based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations. Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you! • Generate AI/ML ideas, design experiments, implement them & evaluate results., • Prepare, submit & present your work to AI conferences and workshops., • Provide technical insight to internal teams by designing experiments and delivering clear, actionable reports., • Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware. Essential: • Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry)., • Python programming in a modern deep learning framework, e.g. PyTorch or JAX., • Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling., • Capable of designing, executing and reporting from ML experiments., • Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton., • Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling., • Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution Desirable: • Mathematics skills to support the above: calculus, probability theory and linear algebra., • Experience submitting papers to international scientific conferences or workshops. In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications #J-18808-Ljbffr

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. Your Role As a Forward Deployed Lead / Principal Engineer (FDE) with an AI & Agentic Engineering focus (Band 9), you own the technical direction and delivery of major enterprise AI programmes - architecting the agentic systems and generative AI applications that go into production in close collaboration with platform engineering. You align enterprise goals with target-state AI architectures for senior stakeholders, guide the team’s technical direction while staying close to the work, and work hand-in-hand with the platform engineers on the team throughout design, build, and deployment. You combine deep expertise in agentic AI systems, RAG, and applied software engineering with strong consulting acumen. You establish AI governance frameworks, champion sound engineering practice across the AI delivery lifecycle, and act as a go-to technical reference on complex engagements. • Design and build agentic AI applications and multi-agent workflows, along with the frameworks that run them, for enterprise use cases, • Build RAG pipelines and integrate LLM APIs, vector databases, and MCP (Model Context Protocol) tooling, • Process unstructured data into condensed, structured knowledge, including ontology extraction, • Write production‑grade Python services (FastAPI) with solid engineering practices: design, testing, code review, CI/CD, • Work with relational and graph databases (e.g. Postgres, Neo4j) to model and serve data behind AI applications, • Work closely with platform engineering throughout deployment - hosting, scaling, and MLOps/LLMOps - without owning that infrastructure yourself, • Define AI governance and responsible-use guardrails: data privacy boundaries, LLM governance, and policy enforcement (OPA/Rego), • Instrument AI applications for observability (OpenTelemetry, Prometheus) so behaviour and cost stay visible in production, • Translate enterprise requirements into AI solution roadmaps for senior stakeholders, • Capture field learnings, codify reusable agentic patterns, and mentor engineers hands‑on, • Provide architectural oversight across multi-disciplinary workstreams, staying close enough to unblock the team directly You don’t need to tick every box below to apply — this reflects the breadth of the role, not a strict checklist. • 8–10+ years in software or solution engineering, with a track record of shipping AI systems in client‑facing engagements, • Strong Python engineering (FastAPI), with solid SDLC practices: design, testing, code review, CI/CD, Git & GitHub, • Hands‑on experience with agentic AI frameworks (examples include LangGraph, CrewAI, AutoGen, Semantic Kernel, OpenAI’s Agents SDK, and Google’s Agent Development Kit) and MCP (Model Context Protocol), • Practical experience building RAG/LLM‑based pipelines and working with vector databases, • Experience with relational and graph databases (e.g. Postgres, Neo4j) for data modelling behind AI applications, • Hands‑on familiarity with modern AI coding copilots (e.g. Claude, Codex, Cursor), • Strong stakeholder communication, translating AI capability into business outcomes for senior stakeholders, • Willingness to travel and work on customer premises as required, • Degree in Computer Science, Data Science, Informatics, Engineering, Physics, Mathematics, or a related discipline — or equivalent professional experience, • Familiarity with observability instrumentation for AI systems (OpenTelemetry, Prometheus), • Experience with AI/ML frameworks (TensorFlow, PyTorch) and the Hugging Face / open‑source AI ecosystem, • Experience with image understanding and OCR, • Working knowledge of policy‑as‑code (OPA/Rego) for AI governance and guardrails, • Understanding of LLM governance: data privacy, guardrails, and responsible‑use controls, • T‑shaped profile: deep expertise in AI engineering, broad understanding across software engineering and technical consulting We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don’t meet every requirement, we encourage you to apply. We believe in growth, and we’re excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. That’s The Kyndryl Way. Our dynamic, hybrid‑friendly culture supports your well‑being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you’ll dive into impactful work that powers the systems our customers rely on every day. You won’t just contribute—you’ll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We’ll champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you’ll have everything you need to thrive and evolve. You’ll develop in‑demand skills to grow your career and achieve your ambitions with access to cutting‑edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands‑on experiences. And through it all, you’ll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we’re committed to helping you do just that. At Kyndryl, we achieve progress the world depends on, with purpose. Beginning with the purpose that matters to you. Because here, you will be part of a culture designed with purpose. One that is restless, empathetic and devoted. Where we are committed to sustainable progress for our customers and supporting the communities where we work and live. All of you is what we want. And what we need. Join us, and together, we can advance the vital systems that power human progress. #J-18808-Ljbffr

Our client is a global technology company. At its AI research lab, the Planet-Scale Resources, Infrastructure and Systems Management (PRISM) team brings together researchers and engineers to advance the frontiers of AI reasoning and autonomous agentic systems. We reject the false tradeoff between research and execution, pursuing breakthroughs on open AI challenges while embedding directly into core teams to land those capabilities in production. Our work powers Gemini & Gemma—developing core reasoning capabilities and RL scaling for Gemini 3, and leading Gemma 3 270M, including multi-agent Gemini capabilities. We deliver critical contributions to AI Grand Challenges (such as our gold medal-winning IMO 2025 effort), drive product innovations like 'deep think' mode and agentic inference scaling in antigravity, and lead its parent company-wide initiatives including AI for Science and Project Big Sleep. In this role, you will operate across the full research-and-engineering lifecycle, developing distributed post-training infrastructure and algorithms that enable Gemini models to solve complex, multi-step problems autonomously. Artificial intelligence will be one of humanity's most transformative inventions. We are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits Learn more about benefits at our client. Minimum qualifications: • Bachelor's degree in Computer Science, Mathematics, Physics, a related quantitative field, or equivalent practical experience., • 4 years of experience building, scaling, and debugging machine learning models using deep learning frameworks (e.g., JAX, PyTorch, or TensorFlow)., • Experience in one core area: Reinforcement Learning (RL), Post-Training (SFT/RLHF/RLAIF), Agentic Tool-Use, or Inference-Time Search. Preferred qualifications: • PhD in Computer Science, Machine Learning, Physics, or a related quantitative field., • Experience training and managing models on large-scale distributed accelerator clusters (e.g., TPUs or GPUs)., • Experience designing asynchronous agent-environment simulation loops or large distributed post-training pipelines., • Experience prototyping new hypotheses quickly while keeping shared codebases clean, robust, and production-grade. Responsibilities:, • Operate across the full research-and-engineering lifecycle of frontier reasoning and agentic systems., • Work on unsolved problems in agentic reasoning, turning early exploratory prototypes into hardened production features for Gemini releases., • Architect and optimize distributed post-training pipelines and agent-environment simulation loops across thousands of accelerators., • Design rigorous experiments and failure analyses to isolate performance bottlenecks and communicate findings through clear write-ups., • Maintain high code quality and architectural health across shared reinforcement learning and modeling codebases. JBRP1_UKTJ

At NPL, we are looking for an experienced scientist with a real passion for tackling some of the biggest challenges in industry, energy, the environment, and healthcare to join our Informatics group within the Data Science & AI department. As a Higher Scientist, you'll be expected to acquire new knowledge to find solutions to advance our research, build our capability and provide impact to our clients through project delivery. The work conducted within the Data science & AI department responds to the national challenges of: • Prosperity: delivering measurement solutions to maximise innovation and prosperity in advanced manufacturing, • Security and resilience: managing the risks to our national security and resilience infrastructure, • Environment: science-directed measurement solutions for environment climate action and a sustainable future, • Health: supporting healthcare, life science and the bio economy You will be working on data-based projects through practical and theory-based learning in the field of data engineering by developing semantic web technologies, ontologies, knowledge representation, knowledge graphs and Natural Language Processing to support data used in a range of complex systems. As a Higher Scientist, you will collaborate with a variety of teams, both internal and external to NPL, within academic, industrial and governmental sectors, and at national and international levels. You will be expected to use logical thinking skills for designing and following a work plan, along with developing technical documents including scientific publications. Additionally, you will contribute to project idea generation, bidding support and consideration of digital products and services that could be built upon your research. The role can be based at either of our Glasgow and Cambridge hub offices, or at our main Teddington (London) site with occasional travel required between these three sites. Additional opportunities to travel both nationally and internationally will become available as part of your role in delivery projects, collaborating with partners, and through conference attendance. We are seeking a experienced Higher Scientist to work on data engineering aspects of Informatics. You will understand how data science works within areas such as semantic technologies, ontologies and knowledge representations / graphs, and have an appreciation of how the subject is being researched, how it can be implemented through software tools, and its impact within real-world applications. To be successful in the Higher Scientist role, you will have the following skills and qualifications: • Education, • PhD (desirable) / Bachelor / Master's in computer science, software engineering, physics, mathematics or an applicable scientific / technical field, • Proficient, • An object-oriented programming language, e.g. Python, Java, C#, • Working with relational database systems, e.g. MySQL, Oracle, PostgreSQL, • Working with Git version control system, • Desirable, • Interest in metrology and scientific research, • Web application dev framework, e.g. Flask, ReACT, Spring, • Experience in data modelling and data architecture, • Experience in working within scientific domains, • Demonstrable interest / experience in semantic web technologies, ontologies, knowledge representation, knowledge graphs or Natural Language Processing, • Experience in accessing and exposing data through Rest APIs, e.g. through application of FastAPI, OpenAPI etc., • Experience in RDF, OWL, SPARQL, • Experience with graph databases (e.g. GraphDB, Neo4J), • Knowledge of existing ontologies such as Schema.org, PROV-O, QUDT, SOSA/SSN, • Proven ability to work in a team to achieve a common goal, with good communication, presentation and collaboration skills, • Enjoy problem solving and can demonstrate critical thinking, assessing the pros and cons of your approach, • Experienced in writing scientific technical reports, • Ability to complete work which requires a high level of attention to detail, • Understand the value of providing good customer service, delivering high quality work and proactive communication, • Committed to your personal development and taking on learning opportunities to get the most from the role, • Be eligible to live and work in the UK at the time you start employment (we cannot provide visa sponsorship at this time) We actively recruit citizens of all backgrounds, but the nature of our work in specific departments means that nationality, residency and security requirements can be more tightly defined than others. You will be asked about this throughout the recruitment process. To work at NPL, you will need to obtain BPSS security clearance. However, to work in this role in the DataScience & AI department, you will need to have a current SC clearance, oryou must have the ability to obtain an SC clearance. The National Physical Laboratory (NPL) is a world-leading centre of excellence that provides cutting-edge measurement science, engineering and technology to underpin prosperity and quality of life in the UK. NPL and DSIT have strong commitments to diversity and equality of opportunity, and welcome applications from candidates irrespective of their background, gender, race, sexual orientation, religion, or age, providing they meet the required criteria. Applications from women, disabled and black, Asian and minority ethnic candidates in particular are encouraged. All disabled candidates (as defined by the Equality Act 2010) who satisfy the minimum criteria for the role will be guaranteed an interview under the Disability Confident Scheme. At NPL, we believe our success is a result of the diversity and talent of our people. We strive to nurture and respect individuals to ensure everyone feels valued by treating everyone on the basis of their own individual merits and abilities regardless of their own or perceived identity, as part of our commitment to diversity & inclusion, we holdmemberships and accreditations to ensure we’re creating an environment where all our colleagues feel supported and welcome, please see our Diversity & Inclusion page. We are committed to the health and well-being of our employees. Flexible working and social activities are embedded in our culture to create a positive work-life balance, along with a broad range of benefits. Our values are at the heart of what we do, and they shape the way we interact, develop our people and celebrate success. To ensure everyone has an equal chance, we’re always willing to make reasonable adjustments to the recruitment process. If you would like to discuss, please contact us. #J-18808-Ljbffr

Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Forward Deployed Engineering is a radical commitment to the outcome. This is Palantir's operating ethos. We pioneered this unique position, embedding engineers directly with our customers to tackle their most pressing challenges head-on. As an FDE, you'll be at the intersection of world-changing problems and impactful technology, shaping solutions where they matter most. From hospital beds to factory floors, Forward Deployed Engineers (FDEs) embed themselves in the customer's reality until the problem is theirs. This requires walking many miles in a customer's shoes, building past the perimeter of what the product currently offers, and deviating from every pre-existing formula to solve the problem. Whether that problem is "How do we predict and mitigate wildfire risks across a power grid?" or "How can we analyze and adapt a global supply chain to deliver critical parts on time?" You'll use your technical expertise, creativity, and problem-solving skills to drive real-world impact. To solve mission-critical problems by deploying software and AI into the high stakes operations of the world's leading institutions. This requires a ruthless commitment to truth-seeking and prioritizing real outcomes. The work is difficult. The stakes are real. You will work in small, high-trust teams and own projects end-to-end, from the first conversation with a customer, to shipping the product that changes how they operate. You will embed with the customer, the chaos, and the consequences, and will be entrusted with real ownership to: • Collaborate with engineers to make architecture and design decisions, • Wrestle with data at a scale that breaks assumptions and demands invention, • Build custom applications, LLM workflows, and production solutions engineered for a specific customer's reality, • Own relationships with stakeholders from the users in the weeds to the executives making the calls As a New Grad, you will be entrusted with responsibility on day 1. You will not be handed a ticket queue. You will not be shielded from the customer, the chaos, or the consequences. FDEs are entrusted with real ownership, operating with real autonomy, and held to a real standard, no matter their tenure. • Going where you're needed most - Embed where and when it matters. Expect 25-50% travel, depending on team and location., • Agency - You learn continuously, make decisions with incomplete information, and don't wait to be told what to do next., • Embracing the ambiguity - You operate effectively in teams that mix technical and non-technical people, in environments where the objectives shift, the users push back, and the solution demands iteration., • Intrinsic motivations - You solve hard technical problems (data structures, storage systems, cloud infrastructure, front-end frameworks) not because you were assigned to, but because that's what it takes to achieve your outcomes., • Ruthless goal orientation - You do not operate within a product's existing boundaries and limitations. You push past them, rewrite them, or discard them entirely., • Engineering degree, preferred in fields such as Computer Science, Electrical and Computer Engineering, Mathematics, Software Engineering, Physics, and Data Science., • Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar., • Must be graduating in 2027 or before. In an effort to build more transparency into our recruitment process, we'd like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. #J-18808-Ljbffr

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic is building the Forward Deployed Engineering team to help the world's most ambitious organizations adopt Claude in ways that are transformative, safe, and lasting. Our Technical Deployment Leads (TDLs) and Forward Deployed Engineers (FDEs) embed with strategic customers to ship production AI applications that solve real business problems. Our delivery model pairs two roles: FDEs own the technical artifact, and TDLs own the engagement end-to-end — from statement of work (SOW) through production deployment. As a Manager of Technical Deployment for Financial Services, you own engagement portfolio health across your vertical. You set the bar for delivery quality and build the playbooks and evaluation frameworks that let the practice scale. Your work will directly influence Anthropic's product direction and establish Anthropic as the trusted partner for AI transformation across the Fortune 100. This is a player-coach role. You need to be credible in architecture conversations with a customer's engineering leads and equally comfortable in sales conversations in front of executive sponsors, and you will lead the most complex engagements yourself when the stakes call for it. Most of your impact will come through the people you hire and the standard you hold them to. You won't write production code, but you will pressure-test the technical decisions your TDL team makes with FDEs. • Hire, develop, and retain a team of TDLs embedded in Financial Services engagements. Set a high bar for delivery judgment, technical fluency, and customer presence, and run the interviews that hold it., • Manage each TDL directly: regular 1:1s, clear expectations, direct feedback, and a growth plan. Build a bench that runs engagements well without you in the room., • Own portfolio health across the vertical. Track which engagements are on track, at risk, or closing out, and intervene early when delivery drifts. Run engagement quality reviews with your team., • Own customer outcomes across the portfolio. Hold the executive relationship with customer sponsors, run steering committees, and represent Anthropic's credibility with senior business, risk, and engineering leaders., • Make the staffing call for each engagement. Work with FDE managers to match TDLs and engineers to each customer, and adjust as scope changes., • Lead the most complex engagements yourself. Take the TDL seat when engagement size, regulatory exposure, or organizational complexity calls for it, from delivery plan through production., • Set the bar for delivery excellence — SOW quality, MVP scoping, and value measurement. Ensure every engagement has a defensible impact story., • Codify reusable solution patterns, evaluation frameworks, and technical playbooks across the team. Turn what works in the field into delivery infrastructure that lets the practice scale., • Partner with Sales to qualify engagements, shape scope, and inform SOWs. Partner with Marketing and Sales on Financial Services–specific go-to-market materials, reference cases, and positioning., • Run the team's operating rhythm: engagement reviews, knowledge-sharing, and escalation support, and report into the wider post-sales cadence and dashboards. Set team goals tied to customer outcomes., • Bring the field back to Anthropic. Surface delivery lessons and emerging Financial Services use cases to Product and Research, and represent the vertical in leadership discussions., • Consistently uphold Anthropic's values as you lead your team. TDLs should be strong representatives of Anthropic's culture as they work within customer environments., • Travel to customer sites (25–50% expected)., • Have 8+ years leading enterprise AI/ML delivery, whether you came up as a founder, engineer, data scientist, or researcher who has moved into deployments, with at least 3 years directly managing people who owned delivery outcomes., • Have a track record of building and leading technical delivery teams in enterprise environments, ideally including embedded or forward-deployed teams working at client sites., • Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments., • Bring depth in Financial Services. You have delivered technology programs inside banks, insurers, or asset managers, you understand how model risk, security, and compliance review shape what ships, and you can speak credibly with a CIO, a chief risk officer, and a head of engineering., • Can navigate architecture discussions with engineering stakeholders, evaluate technical trade-offs, and judge whether a proposed agent design is realistic. You are accountable for the technical direction your team sets alongside FDEs., • Have experience with value-based scoping, including TCO/ROI quantification and post-deployment impact measurement., • Thrive in ambiguity and bring structure where none exists. You have built a team, practice, or function from an early stage., • Have executive presence: polished, credible, and concise with senior leaders in high-stakes settings, and just as effective in a hands‑on engagement review with your team., • Have strong written and verbal communication skills. You can translate technical complexity into clear narratives for diverse audiences. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £255,000—£325,000 GBP Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long‑term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process. #J-18808-Ljbffr

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. About the Team The DRW C/FICCO Data Engineering team is essential to developing valuable datasets and scalable data infrastructure critical to our trading operations. We work closely with traders, researchers, and other engineering teams to ensure seamless data flow and accessibility, supporting data-driven decision-making. Our systems are designed to handle large volumes of data, maintain quality and integrity, and provide robust APIs for fast, ergonomic data retrieval. About the Role In this role you will: • Collaborate with cross-functional teams to deliver data solutions that support diverse trading activities., • Take full ownership of data products, guiding them from initial concept through to stable production., • Design, build, and maintain systems for both batch processing and real-time streaming of time series datasets, ensuring high data quality and reliability., • Develop APIs and data access methods for fast, intuitive retrieval of historical and live data, working with both new and existing systems., • Provide on-call support as needed. Qualifications: • A minimum of 2+ years’ experience using at least one of Python, Java, and C++, and can work comfortably in multiple programming languages, • A track record of working directly with end customers, scoping and delivering production systems in fast-moving and ambiguous environments, • Ability to dive deep into complex problems, develop intuitive understandings, spot risks early, and minimize complexity, • Exceptional interpersonal skills - you communicate clearly with stakeholders as well as other engineers, fostering a collaborative, supportive working environment, • Experience in the financial markets, especially in delta one, store of value, and/or FICC options trading, • Experience with Linux-based, concurrent, high-throughput, low-latency software systems, • Experience with pipeline orchestration frameworks (e.g. Airflow, Dagster), • Experience with streaming platforms (e.g. Kafka), data lake platforms (e.g. Delta Lake, Apache Iceberg), and relational databases, • Have a Bachelors or advanced degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or equivalent work experience For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at privacy-notice . For government reporting purposes, we ask candidates to respond to the below self-identification survey.Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiringprocess or thereafter. Any information that you do provide will be recorded and maintained in aconfidential file. As set forth in DRW ’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law. A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. Why are you being asked to complete this form? We are a federal contractor or subcontractor. The law requires us to provide equal employment opportunity to qualified people with disabilities. We have a goal of having at least 7% of our workers as people with disabilities. The law says we must measure our progress towards this goal. To do this, we must ask applicants and employees if they have a disability or have ever had one. People can become disabled, so we need to ask this question at least every five years. Completing this form is voluntary, and we hope that you will choose to do so. Your answer is confidential. No one who makes hiring decisions will see it. Your decision to complete the form and your answer will not harm you in any way. If you want to learn more about the law or this form, visit the U.S. Department of Labor’s Office of Federal Contract Compliance Programs (OFCCP) website at www.dol.gov/ofccp . How do you know if you have a disability? A disability is a condition that substantially limits one or more of your “major life activities.” If you have or have ever had such a condition, you are a person with a disability. Disabilities include, but are not limited to: • Alcohol or other substance use disorder (not currently using drugs illegally), • Autoimmune disorder, for example, lupus, fibromyalgia, rheumatoid arthritis, HIV/AIDS, • Blind or low vision, • Cancer (past or present), • Cardiovascular or heart disease, • Celiac disease, • Cerebral palsy, • Deaf or serious difficulty hearing, • Diabetes, • Disfigurement, for example, disfigurement caused by burns, wounds, accidents, or congenital disorders, • Epilepsy or other seizure disorder, • Gastrointestinal disorders, for example, Crohn's Disease, irritable bowel syndrome, • Intellectual or developmental disability, • Mental health conditions, for example, depression, bipolar disorder, anxiety disorder, schizophrenia, PTSD, • Missing limbs or partially missing limbs, • Mobility impairment, benefiting from the use of a wheelchair, scooter, walker, leg brace(s) and/or other supports, • Nervous system condition, for example, migraine headaches, Parkinson’s disease, multiple sclerosis (MS), • Neurodivergence, for example, attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder, dyslexia, dyspraxia, other learning disabilities, • Partial or complete paralysis (any cause), • Pulmonary or respiratory conditions, for example, tuberculosis, asthma, emphysema, • Short stature (dwarfism), • Traumatic brain injury PUBLIC BURDEN STATEMENT: According to the Paperwork Reduction Act of 1995 no persons are required to respond to a collection of information unless such collection displays a valid OMB control number. 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• YOURSELF 25 days’ holiday (with the option to buy more), • Private Healthcare Optional dental insurance, health assessments and health cash plans, • Cycle to Work scheme, • Company Pension Scheme, matching contributions up to 5% of salary, • Life assurance, • Annual staff bonus scheme, • Season ticket loans We’re looking for a Cyclotron Engineer to join the small, specialist team based at our state‑of‑the‑art clinical imaging centre in Hammersmith, West London. In this role you'll support the maintenance and operation of the two on site cyclotrons vital in enabling the production of the short lived 11C and 18F isotopes essential in supporting our TR and DPS studies. An experienced professional, you'll enjoy significant autonomy, drawing upon your expertise to make informed inputs and exercise sound judgement which inspires confidence amongst your colleagues and business stakeholders. • Management of Cyclotron Operations and Associated Systems, • Maintenance and Troubleshooting, • Provide Risk Management & Failure Prevention, • Provide On‑Call and Out‑of‑Hours Engineering Support, • Maintain Cyclotrons and Supporting Systems (ACS and RNDS), • Delivers reliable Cyclotron Operations including training, repair, and maintenance (including management of repair parts inventory) of the two Siemens RDS Eclipse cyclotrons., • Operate and maintain Radionuclide Delivery System (RNDS) and the Air Compressing Station (ACS) based at the clinical imaging center., • High‑vacuum systems (leak detection, pumps, gauges) RF systems and high‑voltage power supplies, • Mechanical maintenance, alignment, and troubleshooting., • Radiation Protection & Compliance, • Ensure Safety, Compliance, and Regulatory Adherence, • Support Continuous Improvement and Technical Development, • Radiation protection, monitoring, and ALARP principles, • Documentation & Quality, • Responsible for ordering and maintaining a list and inventory of Cyclotron spare parts., • Documentation control of all cyclotron vault area SOP's ensuring accurate records of both environmental data and equipment condition are kept., • Excellent understanding of cyclotron physics and charged‑particle acceleration principles., • Good understanding of radionuclide production pathways and targetry., • Excellent interpersonal, verbal and written communication skills., • A flexible attitude with respect to work assignments and new learning., • Ability to manage multiple and varied tasks with enthusiasm and prioritize workload with attention to detail., • Ability to identify and implement process improvements., • Proactively participates in skills improvement training and encourages their teams to participate., • Ability to coach others to succeed in enhancing individual and professional development., • Sharing knowledge, skills, and expertise to others., • A minimum of a degree (or equivalent) in electronics and/or mechanical engineering or related technology., • 5+ years’ experience in PET cyclotron operation and maintenance., • The ability to work independently and in a team environment., • Self-motivated with excellent troubleshooting skills., • Knowledge of working with radioactive materials is essential., • Understanding and adherence to safety rules, • English: Fluent. The role covers night shift operation on a rotating basis and provides out-of-hours on-call engineering support for Cyclotron Operators. Complimentary allocated parking provided on-site At Perceptive, we enable the world’s pharmaceutical, biotech, and clinical research organizations to rapidly discover and advance life-changing treatments. Together, our global team delivers unmatched scientific and technological expertise, global operational experience, and end‑to‑end solutions to help the global research community realize tomorrow’s new therapies. To do this, we need people like you. At Perceptive, your work will enable our customers to bring lifesaving and life‑improving options to patients around the world. Learn how you can make a difference by joining our team and uniting under our shared goal – serving science to improve people’s lives. #J-18808-Ljbffr

London, UK Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences - focusing on raising the floor for those who need it most. We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on two areas where we think Claude can help these partners today. The first is clinical trials. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. The second is drug repurposing: finding new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You’ll advise and embed in partners’ teams, building alongside their engineers, scientists and clinicians. • Work with partners’ trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks., • Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step., • Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research., • Hands‑on experience designing, running or analysing clinical trials, or finding new uses for existing medicines. Deep experience in one; both are a bonus. Having contributed to a regulatory submission for a trial is a plus., • Comfort with biomedical data: literature, omics, and real‑world patient data (health records, registries, claims), ideally inside secure or trusted research environments., • Strong engineering skills: you can take an LLM‑powered tool from prototype to production code, and write evals to measure it., • Experience working directly with external partners or customers in a technical role., • Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust., • A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings (“OTE”) range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship:We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.comemail addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process. #J-18808-Ljbffr

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. Software Engineers at Palantir drive large-scale transformation through data, AI and world-leading infrastructure that supports mission-critical workloads. As an engineer within Palantir's Infrastructure teams, you'll have the opportunity to grow more quickly than you ever imagined as you contribute high-quality code directly to: • The shared infrastructure underpinning Palantir Foundry, Palantir Gotham and Palantir Apollo — platforms deployed at the most important institutions across the public and private sectors, • Rubix and Mission Manager, our new internal-infrastructure business line, used by advanced civil and defence agencies worldwide to power their infrastructure in highly sensitive environments, • The substrate on which Palantir deploys Foundry and Gotham, powering workflows for research scientists, aerospace engineers, intelligence analysts and economic forecasters This means driving investments that improve the velocity and quality of our engineering. Infrastructure at Palantir spans our Foundations, Production Infrastructure and Foundry teams. Teams within Palantir's Foundations organisation are made up of a small number of engineers, each focused on one of four major categories of our infrastructure: • Backend Infrastructure, • Developer Infrastructure, • Frontend Infrastructure, • Storage Infrastructure Production Infrastructure organisation, made up of small teams of engineers working on: • Environment Platform: a Kubernetes-based PaaS spanning hundreds of production clusters, • Apollo: secure, fleet-wide deployment and change-management for complex microservice suites, • Signals: our full suite of observability and alerting tools Foundry itself is also a developer platform, and many of our users are developers. You'll be building tools used by people who build. As a result, applicants may also be considered for other infrastructure roles within the Foundry product team. • Passion for helping other developers build better applications., • Empathy for the impact your changes will have on the workflows and productivity of developers and end users., • Ability to communicate and collaborate with a variety of individuals, including engineers, users, and non-technical team members., • Willingness to learn and make decisions independently, and the ability to ask questions effectively., • Eagerness to delve into the source code of open-source libraries (such as Cassandra or Chromium) to truly understand how they work or to debug an issue., • Staying up-to-date with recent industry practices and advancements in open-source technology., • Engineering background in fields such as Computer Science, Mathematics, Software Engineering, or Physics., • Familiarity with data structures, storage systems, cloud infrastructure, frontend frameworks, and other technical tools., • Experience coding in programming languages, such as Java, C++, Python, TypeScript, JavaScript, or similar languages. Life at Palantir We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir\’s values and culture, we believe employees are “better together” and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. #J-18808-Ljbffr

A World-Changing Company Palantir builds the world’s leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. At Palantir, the Forward Deployed Software Engineer (FDSE) role isn’t just a job title: it’s the blueprint. We pioneered this unique position, embedding talented engineers directly with our customers to tackle their most pressing challenges head‑on. As an FDSE, you’ll be at the intersection of world‑changing problems and impactful technology, shaping solutions where they matter most. FDSEs work side by side with our customers, rapidly understanding their toughest issues; architecting and building solutions that leverage business‑critical data and the latest advancements in AI to solve them. Whether it’s “How do we predict and mitigate wildfire risks to optimize power grids?” or “How can we analyze and adapt a global food supply chain to deliver life‑saving aid on time?”, you’ll use your technical expertise, creativity, and problem‑solving skills to drive real‑world impact. You’ll have the rare opportunity to gain deep insight into and directly influence some of the world’s most critical industries and institutions. By building on Palantir’s powerful platforms leveraging integrated cutting‑edge AI, you’ll help organizations unlock the full potential of their data to make smarter, faster decisions. • Collaborating with fellow engineers on architecture and design decisions, • Wrangling massive‑scale data and using AI to accelerate and enhance critical operations, • Developing custom applications tailored to customer needs, • Engaging directly with customer stakeholders, from technical teams to executives, • Shaping team strategy and driving projects from ideation to deployment, increasing your pain threshold to deliver real value, • Ability to continuously learn, work independently, and make decisions with minimal direction., • Ability to collaborate in teams of technical and non‑technical individuals, and comfortable working in a constantly evolving environment with dynamic objectives and iteration with users., • An eagerness to creatively solve technical problems with data structures, storage systems, cloud infrastructure, front‑end frameworks, and other technical tools., • Interest in working with and using large scale data to solve valuable business problems., • Willingness and interest to travel as needed to client sites. Ability to travel 25‑50% preferred, but requirements vary by team and location., • Engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science., • Proficiency with one or more programming languages, such as Python, Java, C++, TypeScript/JavaScript, or similar., • Must be graduating in 2026 or before. To apply, please submit the following: • An updated resume / CV – please do so in PDF format., • Thoughtful responses to our application questions In an effort to build more transparency into our recruitment process, we’d like to share our offer deadline expectations. By applying to this position, you commit to confirming your decision within two weeks of receiving your written offer. We want every Palantirian to achieve their best outcomes, that’s why we celebrate individuals’ strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well‑being across all areas of Palantirians’ lives is just one of the ways we’re investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir’s values and culture, we believe employees are “better together” and in‑person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade‑off for their personal productivity. Based on business need, there are a few roles that allow for “Remote” work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help. #J-18808-Ljbffr

PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations — empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role As IT Lead Engineer, you'll own the infrastructure that lets our engineers push CPU/GPU-heavy physics simulations without hitting a wall. You'll bring HPC operator experience rather than generalist sysadmin breadth, paired with the calm to fix a boardroom AV fault and the judgment to mentor the engineer who caused it. This is a high-ownership role in a scale-up: you'll be building process as much as running it, and you'll be the person people elevate to when "it's slow" needs a real root cause, not a restart. What you will do • Own and evolve our HPC environment: cluster administration, job scheduling (e.g., Slurm/PBS/LSF), performance tuning, and capacity planning for compute-heavy engineering workloads., • Experience with Entra ID Governance: Access Reviews, Identity Protection, Privileged Identity Management (PIM) at scale., • Provide hands‑on IT support across the company with an automation-first mindset, • Mentor and develop junior IT/support engineers, building a culture of ownership and technical rigor rather than ticket-closing., • Act as an escalation point for complex or high-priority issues across HPC, dev tooling, and general IT support., • Configure, support and improve developer tooling (e.g. Github Actions/Workflows, JFrog, Chainguard) What you bring to the table • 7–10 years of experience in IT infrastructure, systems administration, or HPC support, with at least 2–3 years in a lead or senior technical role., • Demonstrable hands‑on experience managing HPC infrastructure including cluster administration, job schedulers, and performance tuning for CPU/GPU workloads., • Experience with compliance frameworks (e.g. SOC 2, ISO 27001) and able to translate control requirements into actual technical implementation (access reviews, logging, encryption, change management), not just pass an audit checklist., • Strong Linux administration skills, plus comfort supporting a mixed Linux/macOS/Windows environment typical of an engineering org., • Experience supporting developer tooling and workflows including CI/CD systems, version control, license management, and internal engineering platforms., • Experience in cloud-native environments across multiple cloud vendors., • Strong experience designing and setting up zero trust environments., • Comfort working in a scale‑up: fewer guardrails, more ownership, and a need to build process as well as solve problems., • Strong networking fundamentals and hands‑on operational experience: routing and switching, segmentation, firewalls, VPN, enterprise wireless, DNS/DHCP/IPAM and TLS/PKI, with confident packet‑level troubleshooting., • Excellent structured troubleshooting: you can take an ambiguous "it's slow" report, isolate the layer, prove the cause and prevent the recurrence and teach that method to someone else., • Strong automation and scripting ability (Python, Bash, PowerShell) with infrastructure as code and configuration management as your default way of working. Nice to Have Skills • Strong AV experience: designing and building AV from scratch, not just supporting existing setups., • Compliance automation platforms (Vanta, Drata)., • Relevant certifications (e.g. CCNA,CCNP, SC-300, MS-102, RHCE, Jamf etc.), • Experience configuring security tooling and working with security teams. What we offer Build what actually matters Help shape an AI-native engineering company at a formative stage, tackling problems that genuinely matter for industry and society. This is work with real‑world impact - and something you can be proud to stand behind. Learn alongside exceptional people Work with a high‑caliber, collaborative team of engineers, scientists, and operators who care deeply about doing great work, and about helping each other get better. We come from diverse backgrounds, but we share a commitment to operating at the highest level and addressing some of the most complex challenges out there. If you’re ambitious, thoughtful, and driven by impact, you’ll feel at home. Influence over hierarchy We operate with a flat structure: good ideas win - wherever they come from. Questioning assumptions and challenging the status quo isn't just welcomed, it’s expected. Sustainable pace, long‑term ambition Building meaningful technology is a marathon, not a sprint. We believe in balancing focused, ambitious work with a life beyond it. Our hybrid model blends time together in our New York office with work‑from‑home days, giving you the flexibility to work sustainably while staying connected in person. And it doesn’t stop there … Equity options - share meaningfully in the company you’re helping to build. 10% employer pension contribution - because investing in future matters. Free office lunches - to keep you energised and focused. Enhanced parental leave - 3 months full pay paternity and 6 months full pay maternity leave, to provide extra flexibility during the moments that matter most. YellowNest nursery scheme - to help working parents manage childcare costs. 25 days of Annual Leave (+ Public Holidays)- because taking time to rest matters. Private medical insurance - 100% employee cover, giving you complete peace of mind. Wellhub Subscription- gain access to thousands of gyms, classes and wellness apps, supporting both physical and mental wellbeing. Eye tests - because good work depends on good health. Personal development - dedicated support for learning, development, and leveling up over time. Employee Assistance Programme (EAP) - confidential wellbeing support, available whenever you need it. Bike2Work scheme and Season ticket loan - to make getting to work easier and greener. Octopus EV salary sacrifice - for a simpler, more sustainable way to drive electric. Watch this space, we’re continuing to build this as we grow… We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. #J-18808-Ljbffr

Rivan Industries is a synthetic fuel company decarbonising heavy industry. We’re making synthetic fuel cheaper than fossil fuels, sustaining life on earth by keeping the CO2 locked underground. Engineering at Rivan is about taking technologies that are conventionally treated as low volume, bespoke, and expensive, and rethinking them completely to be mass manufactured, standardised, and ultra low cost. Every design aspect must be re-reasoned from first principles, every part’s existence questioned, and every manufacturing step scrutinised. We’re looking for a talented Senior Mechanical Engineer to own one of our electrolyser sub-systems to drive that forward, tasked with uncovering new ways of thinking about our system integration, performance, longevity, and manufacturability. If you thrive on a lot of responsibility and tight deadlines, come and build! Own the design and manufacture of an entire Rivan sub-system, from physics and chemistry, to rolling out of the factory door. Own mechanical design of an electrolyser sub-system, from early stage physics and chemistry, through detailed design, build and commissioning. We need you to: • Own the concept generation, system architecture, and technical requirements capture, • Design and iterate electrolyser stack structures and sub-system balance of plant., • Design test-rigs to validate underlying hypotheses quickly and cheaply, • Solve complex fluid and thermal problems, including two-phase gas-liquid flow, • Own and iterate detailed design drawings with our fabrication workshop, • Work closely with process, electrical and controls engineers to integrate the complete system, • Liaise with external vendors to support our development and production, • 5+ years professional experience, • Bachelor’s or Masters in mechanical/aero or related field, • System design experience including CAD (SolidWorks), design for manufacture/assembly, part specification and procurement of complex, integrated systems involving moving fluids, • Hands on workshop fabrication and build experience, • Fundamental thermofluids understanding, including pressure loss, heat and mass transfer, and two-phase flow, • Simulation/analytical modelling competency (e.g. python, FEA, CFD), • Test setup design, running of experiments, and data analysis, • Alkaline water electrolysis or other electrochemical processes, • £70-90k Salary depending on experience, • Significant share options as part of the early team, • In-person work at our HQ in Bermondsey, South-East London, • Extensive relocation support, including £6000 per year extra to live close to our HQ, • Private health insurance, • Visa sponsorship available, • Unlimited time-off We encourage exceptional applicants from all backgrounds to apply for this role, even if they do not meet all the requirements listed. #J-18808-Ljbffr

Overview As Principal Data Scientist at Vortexa, you lead high-impact data science work on frontier energy problems, shaping production-grade AI/ML solutions. You collaborate with analysts, engineers, traders, and regulators to ensure reliable, robust models for real-time energy insights. You define success criteria where none exist and drive research into practical, scalable outcomes. You mentor teams, set technical standards, and elevate the organization’s data science capabilities. Pay / BenefitsFlexible hybrid workDiverse and ambitious cultureOpportunity to work with top mindsEquity options for employeesPrivate health insurance via VitalityGlobal volunteering policy ResponsibilitiesTackle frontier problems with no established baselines and define success criteriaImprove live model performance by collaborating with production podsOwn end-to-end projects from exploration to long-term maintenanceTranslate research into practical, production-ready solutions that work in real-world settingsBuild and elevate Data Science capability through review, pairing, and mentoringLead the Data Science Guild to set technical direction and resolve cross-cutting questions Key requirementsStrategic, high-impact individual contributor with hands-on production-grade model deliveryStrong ML/AI theory and mathematical foundations with engagement in current researchEngineering-minded across the full ML lifecycle: design, development, validation, deployment, monitoringPhD-level depth in Computer Science, Statistics, Applied Mathematics, Physics, or related field (or equivalent industry depth)Proficiency in Python and broad modelling toolkit (regression, classification, clustering, time-series, anomaly detection, seq2seq, stochastic optimization)Ability to solve ambiguous problems, define approach, and take ownership of next stepsAbility to mentor, review, pair-program, and raise team capabilityCredible with non-technical stakeholders, able to negotiate scope and explain trade-offsStrategic thinkingMentoring and teachingEffective communication with technical and non-technical stakeholdersPythonRegressionClassification

• Full-time Company Description Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow productively and sustainably. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. No matter what your position, you will have a vital role in safely feeding the world and taking care of our planet. Join us and help shape the future of agriculture. Join our global analytics team within Product Biology & Sustainable Innovation and help shape the use of predictive science in Crop Protection R&D. As a Senior Data Scientist – Predictive Science, you will develop machine-learning and predictive-modelling approaches that guide the discovery, optimisation and development of Crop Protection solutions. You will connect diverse scientific data with business and R&D decision-making, working closely with multidisciplinary teams to generate robust insights and accelerate complex decisions. This role offers the opportunity to work autonomously on high-impact scientific challenges, influence modelling approaches and data strategy, and collaborate with experts across an international research environment. What you will do • Develop and validate predictive models based on historical, experimental and scientific data to support project and business decisions., • Partner with multidisciplinary teams to support the discovery, optimisation and development of Crop Protection leads and product candidates., • Integrate and analyse data from different sources, including physical chemistry, biokinetic, environmental, laboratory, glasshouse and field-trial data., • Work with scientists to understand complex problems and identify opportunities where predictive modelling can create value., • Provide guidance on experimental and field-trial design to improve data quality and enable effective modelling., • Collaborate with R&D IT and software development teams to build data connections and deploy analytical or customer-facing applications., • Investigate interdisciplinary and multiscale modelling approaches to address scientific challenges., • Monitor relevant developments across industry, academia and technology providers, assessing new methods and tools for their potential application., • Collaborate with external partners where relevant, integrating complementary expertise into projects and programmes., • Contribute to data strategy through the effective connection and use of internal and external scientific data sources., • Establish and track key performance indicators and success metrics for predictive modelling initiatives to demonstrate business impact., • Mentor junior data scientists and analysts, fostering a culture of continuous learning and methodological excellence within the team., • Ensure robust documentation of modelling approaches, assumptions and validation procedures to support reproducibility and knowledge transfer., • Communicate complex analytical findings to non-technical stakeholders through clear visualisations and executive summaries., • In the first months, you will build strong internal partnerships and Crop Protection domain knowledge, support active-ingredient projects using established modelling methods, and identify opportunities to accelerate the impact of predictive science., • Advanced academic background in Data Science, Machine Learning, Statistics, Mathematics, Physics or a related quantitative discipline; postgraduate education is strongly preferred, • Demonstrated experience developing machine-learning or predictive models for biological, scientific, agricultural, life-science or Crop Protection-related outcomes, • Strong knowledge of Python and relevant data science, analytics and modelling tools, • Strong understanding of model validation, robustness assessment and the interpretation of predictive-model performance, • Experience analysing complex datasets and translating findings into clear, actionable insights, • Experience collaborating with scientists, data scientists or technical specialists to solve complex problems, • Strong analytical thinking, creative problem-solving and intellectual curiosity, • Ability to work independently, manage priorities effectively and deliver work to a high standard of accuracy, • Strong communication skills, including data visualisation and storytelling for specialist and non-specialist audiences, • Professional proficiency in English Preferred • Academic or professional experience in biology, chemistry, ecology, environmental science, biokinetics or related scientific domains, • Experience working with laboratory, field-trial, environmental or other complex scientific datasets, • Experience with interdisciplinary or multiscale modelling approaches, • Experience collaborating with external partners, vendors, academic institutions, or R&D IT teams on data platforms and analytical applications Key Capabilities • Adaptability across different scientific questions, data types and analytical methods, • Ability to build trusted relationships and collaborate effectively across functions, • Ownership, customer focus and the ability to influence through technical expertise Jealotts Hill International Research Centre UK is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff.Jealotts Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients, new formulation technologies, product safety and technical support of our product range. What we offer Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance. Up to 31.5 days annual holiday. We offer a position which contributes to valuable and impactful work in a stimulating and international environment. The opportunity to develop and apply your science within the chemical industry. The chance to work as part of a global team to address the current and future needs of the agricultural sector. Learning culture and wide range of training options. Syngenta has been ranked as atop 5 employer and number 1 in agriculture by Science Journal. Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status. Learn more about our D&I initiatives here:careers/working-syngenta/diversity-and-inclusion #J-18808-Ljbffr