Trabajos phd en ManchesterCrear alertas

We are partnering with one of the world's leading healthcare communications organizations as they continue to expand their Regulatory Writing team. Due to ongoing growth, they are seeking experienced Senior Regulatory Medical Writers who are passionate about scientific excellence, client partnership, and delivering high-quality regulatory documentation across a diverse portfolio of pharmaceutical and biotechnology clients. This is an opportunity to join a highly respected organization that values strategic thinking, collaboration, and long-term career development. The team is looking for individuals who want to make a meaningful impact, build strong client relationships, and contribute to the continued growth and evolution of the regulatory writing function. The Opportunity: As a Senior Regulatory Medical Writer, you will be responsible for developing and reviewing a range of regulatory documents while serving as a trusted scientific partner to both clients and internal stakeholders. You will work closely with multidisciplinary teams to ensure the delivery of clear, accurate, and compliant regulatory communications that support global development and submission strategies. This role offers exposure to a broad range of therapeutic areas and the opportunity to work directly with leading pharmaceutical and biotechnology companies. Key Responsibilities • Author, edit, and review a variety of regulatory documents for global pharmaceutical and biotechnology clients., • Ensure all deliverables meet scientific, regulatory, and quality standards., • Partner closely with clients to understand project objectives and provide strategic writing support., • Collaborate with Regulatory Affairs, Clinical Development, Medical Affairs, Biostatistics, and project teams to deliver high-quality submissions., • Manage multiple projects simultaneously while maintaining timelines and quality expectations., • Contribute to client meetings and serve as a trusted scientific resource throughout project delivery., • Support the development of best practices and contribute to the continued growth of the regulatory writing team., • Stay informed of evolving regulatory guidance and industry developments. Qualifications • Advanced scientific degree preferred (PhD, PharmD, MD, MSc, or equivalent)., • Significant experience in regulatory medical writing within a pharmaceutical company, biotechnology organization, CRO, or healthcare communications agency., • Strong experience authoring and reviewing regulatory documents for global submissions., • Excellent scientific writing, communication, and stakeholder management skills., • Ability to build strong relationships with clients and collaborate effectively across multidisciplinary teams., • Strong project management and organizational skills with the ability to manage competing priorities., • Experience within a client-facing environment is highly desirable. Why Consider This Opportunity? • Join a globally recognized healthcare communications organization with a strong reputation in regulatory and scientific communications., • Work alongside industry-leading experts across a diverse portfolio of pharmaceutical and biotechnology clients., • Be part of a growing team where your contributions will help shape future processes, capabilities, and client partnerships., • Gain exposure to a wide range of therapeutic areas, products, and development programs., • Excellent opportunities for professional growth, development, and career progression. If you are an experienced regulatory writer looking to combine scientific excellence with strategic client engagement, we would welcome the opportunity to speak with you.

Digital Design Engineer – Cryptographic Hardware Implementation We are seeking an experienced Digital Design Engineer to work on a high pay OUTSIDE IR35 Contract opportunity. The client need an engineer with strong expertise in the hardware implementation of cryptographic algorithms for ASIC and FPGA platforms. This role is focused on designing, optimizing, and validating high-performance cryptographic accelerators and security IP for next-generation secure connected devices. You will work on translating complex cryptographic algorithms into efficient hardware architectures, balancing performance, area, power, and security requirements. Working closely with architecture, verification, and embedded software teams, you will play a key role in delivering silicon-proven cryptographic solutions for security-critical applications. What You'll Be Doing • Design and implement cryptographic hardware accelerators and security IP blocks for ASIC and FPGA environments., • Develop RTL implementations of cryptographic algorithms including AES, SHA, ECC, RSA, Post-Quantum Cryptography (PQC), and True Random Number Generators (TRNGs)., • Architect and optimize cryptographic datapaths, control logic, and memory interfaces to meet demanding area, power, throughput, and latency targets., • Evaluate and implement hardware countermeasures against side-channel attacks, fault injection, and other hardware security threats., • Perform microarchitecture design, RTL development, simulation, synthesis, timing closure, and hardware validation of cryptographic subsystems., • Analyze algorithmic requirements and translate cryptographic specifications into efficient hardware implementations., • Work closely with verification teams to develop robust test strategies and ensure compliance with security and functional requirements., • Contribute to security architecture decisions and the development of reusable cryptographic IP., • Develop Python-based tools and automation to support verification, performance analysis, and design optimization., • Support ASIC implementation activities including synthesis, static timing analysis (STA), design-for-test (DFT), and silicon bring-up. Required Experience • 5+ years of industry experience in digital hardware design, secure silicon development, or cryptographic hardware implementation., • Strong practical experience implementing cryptographic algorithms in hardware, including symmetric and asymmetric cryptography., • Demonstrated expertise developing RTL for algorithms such as AES, SHA-2/SHA-3, RSA, ECC, or other cryptographic primitives., • Experience optimizing cryptographic hardware for throughput, latency, silicon area, and power consumption., • Strong understanding of hardware security concepts and secure implementation techniques., • Proficiency in Verilog and/or VHDL development., • Experience with ASIC and FPGA design flows from architecture through implementation., • Solid understanding of RTL design, simulation, verification, and testbench development., • Experience with synthesis, timing analysis, and hardware debugging., • Strong analytical and problem-solving skills with the ability to evaluate architectural trade-offs in cryptographic hardware designs. Qualifications • Bachelor's, Master's, or PhD in Electrical Engineering, Computer Engineering, Computer Science, Cryptography, or a related field., • Strong understanding of digital design principles, hardware architecture, and cryptographic implementation techniques., • Experience using Python or similar scripting languages for automation and verification., • Ability to work effectively in a collaborative engineering environment. Nice to Have • Experience implementing Post-Quantum Cryptography (PQC) algorithms in hardware., • Knowledge of elliptic curve cryptography, lattice-based cryptography, and modern cryptographic acceleration techniques., • Experience designing secure cryptographic IP for Root of Trust, Secure Elements, HSMs, or Secure Boot applications., • Familiarity with side-channel analysis, fault injection testing, and hardware security evaluation methodologies., • Experience with formal verification and security-focused validation flows., • Exposure to RISC-V processors and secure system-on-chip architectures. Why Join? • Fully remote working environment., • Opportunity to work on advanced cryptographic hardware and secure silicon technologies., • Significant influence over architecture, implementation strategies, and IP development., • Collaborative engineering culture with high levels of ownership and autonomy., • Exposure to cutting-edge ASIC, FPGA, and hardware security projects., • Competitive salary, benefits, and long-term career growth opportunities. Interview Process: 2-stage Teams interview process with an immediate start available. Keywords Cryptographic Hardware | ASIC | FPGA | RTL Design | Verilog | VHDL | AES | SHA | ECC | RSA | PQC | TRNG | Hardware Security | Secure Silicon | Cryptographic Accelerators | Root of Trust | Secure Boot | HSM | STA | Formal Verification | Python | Side-Channel Countermeasures | RISC-V

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As an Engineering Manager in Driving Intelligence, your role is on the critical path to the success of the company. You are responsible for guiding the development of our autonomous vehicle capabilities with production-level quality. This includes training, tuning and debugging production models, informing decisions on how to collect and synthesize training data. We're looking for leaders who can foster innovation, drive strategic initiatives, and steer teams towards achieving breakthroughs in driving intelligence. Join us to shape the future of mobility and AI. Key responsibilities: • Grow an already strong team of engineers and model developers., • Ensure team members are having a strong impact and are set up for success., • Ensure projects are resourced in a way that balances the needs of the business with the needs of the individuals., • Bring technical expertise and experience to help accelerate our progress and decision making., • Establish solid engineering practices in developing ML models to production-level quality, • Challenge the status quo (both technical and organisational/process)., • Prioritise effectively and keep processes lean and effective., • Partner with leadership to maintain a culture of collaboration, impact, innovation, and health., • Grow the team as a hiring manager, to bring in complementary, diverse skill sets and backgrounds. Anticipate the needs of the business 6-24 months out, identify areas where additional resources are needed or we need to grow new domain expertise, and pitch this to leadership for investment., • Contribute to day-to-day running of the Software team’s operations and larger collaborative efforts., • Assess general team health and look for opportunities to improve processes and best practices In order to set you up for success as an Engineering Manager in Driving Intelligence at Wayve, we’re looking for the following skills and experience. Essential • Prior experience as a manager of ML development teams., • Passionate about fostering personal and professional growth in individual team members, • Industry experience with embodied AI development with real-world product impact., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Prior hands-on ML development experience in an embodied area (e.g., robotics)., • MS or PhD in Computer Science, Engineering, or similar experience. Desirable • Experience working in a project-based (“matrix”) operating environment, • Strong knowledge of Machine Learning and related areas, such as Deep Learning, Natural Language Processing, Computer Vision, etc., • Experience developing machine learning solutions for Autonomous Vehicles. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. For more information visit _ To learn more about what drives us, visit _ We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated crypto industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. To Wintermute digital assets is not just another asset class, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. Read more _ Working at Wintermute We are looking for a C++ Quant Developer who is passionate about technology, interested in both low level details of how computer hardware operates and high-level design of large systems, as well as in data infrastructure. Someone who likes opening the hood to see how things work, has understanding of data structures, experience writing client-server network applications, and writing and optimising code for high performance. We welcome your previous experience from your own personal projects as well as commercial experience. PhD in maths is not uncommon for our Quant Developers, and at least a graduate level of maths skills is required. Interest in algorithmic and quantitative trading is a plus. At Wintermute you will have an opportunity to grow and make direct impact on trading by developing and improving all the parts of the trading platform, data infrastructure and related software, while also getting advice and guidance from very experienced developers and traders, including the founders. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no multiple levels of approvals, no bureaucracy; all developers report directly to CTO who is very hands on. It is up to you to make an impact! You will work alongside exceptionally sharp colleagues, learn how to write fail-safe code and improve performance and scalability of the trading system, a real challenge and a rare opportunity! We have flexible working arrangements, it’s the productivity that matters. At least several days a week in the office with our own gym, unlimited food and drinks are required. What will you work on A great advantage of this position is that it is varied, and it is also up to you to shape it in the direction that matches your talents and company needs. The focus of the role would be to create data infrastructure to bring the analytics to the next level and support the scaling of quantitative trading. Projects may also include upgrading major trading system components, designing a completely new application from scratch, working on implementation of pricing models. We will share more technical details in the interviews. You will have opportunity to improve your knowledge of software optimisations, of building robust large-scale systems and to understand crypto currency trading. \n Hard Skills requirements • At least 2 years’ experience with C++ - we will test, • Understanding networking and implementing client-server connections - we will test, • Experience with looking under the hood to see how C++ standard libraries work - we will test, • Strong analytical skills - we will test Join our dynamic team and benefit from: • Working at one of the most innovative trading firms globally., • Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments., • A vibrant working culture with frequent team meals, holiday celebrations, gaming events, and company-wide outings, including our annual Wintermute weekend getaway., • A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games and free food., • Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial., • A performance-based compensation with a significant earning potential alongside standard perks like pension and private Health insurance. Note: • Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours., • We offer UK work permits and help with relocation Find out more: • _, • _, • _, • _, • _ \n

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Freelance HEOR Consultant | HTA Statistician | Evidence Synthesis | UK & Europe | 6 Months Contract | Remote | Flexible FTE | ASAP Start We are partnering with a leading global life sciences consultancy that supports pharmaceutical and biotech organisations with market access, health economics, and evidence generation strategies across the product lifecycle. They are seeking an experienced HEOR Consultant / HTA Statistician to support a range of projects focused on advanced analytics and evidence synthesis. Responsibilities of the Freelance HEOR Consultant | HTA Statistician | Evidence Synthesis | UK & Europe | 6 Months Contract | Remote | Flexible FTE | ASAP Start • Lead and conduct advanced evidence synthesis projects including network meta-analyses (NMAs), indirect treatment comparisons (ITCs), mixed treatment comparisons (MTCs), and pairwise meta-analyses., • Design and execute statistical analyses across clinical trial and real-world data, including survival analyses, utility analyses, and regression-based methodologies., • Develop and review systematic literature review outputs, feasibility assessments, network diagrams, and assessments of study heterogeneity., • Apply advanced quantitative methodologies such as MAICs, simulated treatment comparisons, meta-regression, surrogate outcome assessment, and single-arm trial analyses where appropriate., • Contribute to methodological innovation, thought leadership, and continuous improvement initiatives within advanced analytics and evidence synthesis. Ideal Experience of the Freelance HEOR Consultant | HTA Statistician | Evidence Synthesis | UK & Europe | 6 Months Contract | Remote | Flexible FTE | ASAP Start • Master's or PhD in Statistics, Biostatistics, Health Economics, Mathematics, or another quantitative discipline., • Demonstrable hands-on experience delivering HTA, evidence synthesis, or advanced analytics projects within a consultancy or CRO, • Strong knowledge of statistical software/tools; specifically, R, Python, SAS, WinBugs, Stata, etc Contractual Details of the Freelance HEOR Consultant | HTA Statistician | Evidence Synthesis | UK & Europe | 6 Months Contract | Remote | Flexible FTE | ASAP Start • 5 days per week (flexible), • ASAP Start, • Remote working across the UK and Europe, • 6 months contract (high potential to extend), • Outside IR35 where applicable (for UK-based contractors) If interested, please click the relevant links to apply and we will reach out if your experience is aligned with the requirements.

Teaching Enhancement Quality Assurance Lead Department: Academic Position Type: Permanent, Full-Time Working Hours: 37.5 hours per week Working Pattern: Monday to Friday (with occasional weekend working Reports To: Dean of UKMC Travel Required: Yes – travel to other campuses within the UKMC Group About UKMC UK Management College (UKMC) is a growing higher education provider delivering career-focused programmes aligned with industry and professional standards. We work closely with academic staff and partners to ensure high-quality, relevant and supportive learning experiences for students. Job Purpose To provide strategic leadership in teaching quality, academic standards and quality assurance across the College. The role ensures excellence in classroom practice, drives continuous improvement in teaching and learning, and maintains full compliance with regulatory and institutional requirements. Key Responsibilities • Teaching Quality & Academic Standards, • Provide strategic leadership for teaching enhancement and quality assurance across all campuses., • Ensure academic delivery, session reporting and classroom practice consistently meet institutional, partner, and regulatory standards., • Drive continuous improvement in teaching quality, student engagement and academic outcomes. Observation & Feedback • Lead and manage a structured classroom observation framework across campuses., • Conduct developmental observations in line with agreed schedules and compliance requirements, • Deliver detailed, constructive feedback to lecturers, supporting measurable improvement in teaching practice. Mentoring & Academic Development • Design, implement, and oversee a structured mentoring and coaching programme., • Support professional development, teaching excellence and Advance HE fellowship progression., • Identify development needs and contribute to targeted academic capability building. Quality Assurance & Compliance • Oversee quality assurance processes related to session reports, assessments and teaching documentation., • Ensure alignment with curriculum standards, academic integrity, and regulatory requirements (e.g. OfS, awarding bodies)., • Provide expert guidance on safeguarding, data protection, and academic compliance. Data, Insight & Continuous Improvement • Analyse student feedback, retention, progression and achievement data., • Evaluate the effectiveness of teaching practices and quality initiatives., • Implement data-driven strategies to improve academic performance and student experience. Collaboration & Leadership • Work closely with the Dean and academic leadership teams to support strategic objectives., • Deliver structured CPD programmes to enhance teaching capability across departments., • Lead and influence academic teams, fostering a culture of excellence and continuous improvement. Representation & External Engagement • Represent the College in internal and external quality reviews and audits., • Contribute to institutional planning and continuous improvement initiatives., • Ensure academic provision meets and exceeds partner and regulatory expectations. Person Specification Qualifications • PHD in Higher Education., • Recognised teaching qualification appropriate to UK Higher Education., • Fellowship of Advance HE, • Significant experience within UK Higher Education (Associate Professor or Professor level)., • Evidence of continuous professional development in teaching, learning and academic leadership., • Formal training in mentoring, coaching, or educational leadership (desirable). Experience & Knowledge • Proven experience teaching in UK Higher Education with strong student outcomes., • Experience conducting classroom observations and delivering developmental feedback., • Strong knowledge of UK HE regulatory frameworks (OfS, QAA, awarding bodies)., • Experience leading mentoring, coaching, or CPD initiatives., • Ability to analyse student data and implement improvement strategies. Skills & Attributes • Strong leadership and stakeholder management skills., • Excellent communication and ability to provide constructive feedback., • High attention to detail and commitment to academic quality and compliance. Strong organisational and time management skills. • Commitment to safeguarding, inclusivity and professional integrity., • Flexibility to travel across campuses and support occasional evening/weekend activities., • Applicants must have the right to work in the UK., • This role is not eligible for visa sponsorship.

Who Are You? An experienced Principal Biostatistician with a passion for clinical development and analysis, adept at utilizing advanced statistical methods, you will lead one Phase I-IV clinical studies across your region. You are excited and enthusiastic, motivate your teams to do great work and collaborate easily with your clients. You never settle for what is but always push clinical development forward to what it could be. You motivate others to do the same. Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Biostatistician you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program. Position Overview: Our Principal Biostatisticians provide statistical and development support and influence for the associated client's trials providing expertise into processes, clinical development plans, concept sheets and protocols, as well as potentially providing oversight of work supported by other vendors. You will formulate integrated analytical approach to mine data sources, employ statistical methods, machine learning & deep learning algorithms to discover actionable insights and automate process for reducing effort and time for repeated use. Responsibilities As a Principal Biostatistician, your responsibilities will include: • Provide statistical input into planning and analysis of Indirect Treatment Comparison (ITC)., • Support Health Technology Assessment (HTA) dossier submission and negotiation., • Create specifications and perform analyses such as time-to-event and longitudinal analysis., • When in the Lead Biostatistician role for a project: manage biostatisticians and statistical programmers with respect to statistical strategy, deliverables, and processes., • Generate the use of innovative statistical methodology approaches by identifying, adapting, developing, or using optimal statistical research methodologies and techniques appropriate to each project, and contribute internally and externally to the development and visibility of the company and of the Clinical Services department through her/his expertise and customer orientation., • Develop strong collaboration and communication with sponsor cross-functional teams and sponsor Biostatistics management. Qualifications Here at Cytel we want our employees to succeed, and we enable this success through consistent training, development, and support. To be successful in this position you will have: • PhD in statistics or master’s degree in statistics or related subject required along with clinical trial experience., • Relevant experience in statistical or biostatistical analysis supporting HTA activities., • Understanding of the HTA-related guidelines., • Excellent verbal and written communications skills., • Ability to organize multiple work assignments and establish priorities, • Working SAS & R programming knowledge required., • CDISC knowledge required. Experience in R is preferred. Remote Locations: United Kingdom, Spain, Netherlands, South Africa, Ireland, Sweden, Poland, Belgium

Genetic Engineer (Plant) You are a hands-on plant scientist with strong molecular biology expertise. You enjoy working at the bench, solving complex biological problems, and translating fundamental science into real-world applications. You want to work in a fast-paced, ambitious biotech where your work directly contributes to solving global challenges like food security and sustainable agriculture. We are partnering with an exciting University of Manchester spinout developing a completely new frontier in crop technology. Their focus is on engineering chloroplast and mitochondrial genomes to introduce high-impact traits into major crop species. This approach unlocks advantages not possible through traditional nuclear genome engineering, including higher expression, stability, and non-Mendelian inheritance. This is a rare opportunity to join at an early stage and directly contribute to building a new category of agricultural biotechnology. You will work closely with the founding team and R&D colleagues to develop and deliver cytoplasmic traits across multiple crop species. THE ROLE: As a Plant Scientist, you will play a key role in designing, executing, and delivering experimental work to enable cytoplasmic trait development. Key responsibilities: • Design and execute plant molecular biology experiments, • Develop and optimise gene editing and transformation approaches in plant systems, • Collaborate closely with a multidisciplinary R&D team, • Contribute ideas and scientific insight in a dynamic, early-stage environment ABOUT YOU: • PhD (or equivalent experience) in plant science or a related field, • Strong hands-on experience in plant molecular biology Nice to have: • Experience with gene editing or plant genetic engineering, • Experience working with crop species (e.g. wheat, maize, tomato, potato) LOGISTICS: • Full-time, on-site role, Manchester, • Exciting early-stage biotech environment If you are excited by the opportunity to help build a new technological paradigm in crop science, apply here or reach out to tyler@singular-biotech.com

Freelance HEOR Consultant | HTA Statistician | Evidence Synthesis | UK & Europe | 6 Months Contract | Remote | Flexible FTE | ASAP Start We are partnering with a leading global life sciences consultancy that supports pharmaceutical and biotech organisations with market access, health economics, and evidence generation strategies across the product lifecycle. They are seeking an experienced HEOR Consultant / HTA Statistician to support a range of projects focused on advanced analytics and evidence synthesis. Responsibilities of the Freelance HEOR Consultant | HTA Statistician | Evidence Synthesis | UK & Europe | 6 Months Contract | Remote | Flexible FTE | ASAP Start • Lead and conduct advanced evidence synthesis projects including network meta-analyses (NMAs), indirect treatment comparisons (ITCs), mixed treatment comparisons (MTCs), and pairwise meta-analyses., • Design and execute statistical analyses across clinical trial and real-world data, including survival analyses, utility analyses, and regression-based methodologies., • Develop and review systematic literature review outputs, feasibility assessments, network diagrams, and assessments of study heterogeneity., • Apply advanced quantitative methodologies such as MAICs, simulated treatment comparisons, meta-regression, surrogate outcome assessment, and single-arm trial analyses where appropriate., • Contribute to methodological innovation, thought leadership, and continuous improvement initiatives within advanced analytics and evidence synthesis. Ideal Experience of the Freelance HEOR Consultant | HTA Statistician | Evidence Synthesis | UK & Europe | 6 Months Contract | Remote | Flexible FTE | ASAP Start • Master's or PhD in Statistics, Biostatistics, Health Economics, Mathematics, or another quantitative discipline., • Demonstrable hands-on experience delivering HTA, evidence synthesis, or advanced analytics projects within a consultancy or CRO, • Strong knowledge of statistical software/tools; specifically, R, Python, SAS, WinBugs, Stata, etc Contractual Details of the Freelance HEOR Consultant | HTA Statistician | Evidence Synthesis | UK & Europe | 6 Months Contract | Remote | Flexible FTE | ASAP Start • 5 days per week (flexible), • ASAP Start, • Remote working across the UK and Europe, • 6 months contract (high potential to extend), • Outside IR35 where applicable (for UK-based contractors) If interested, please click the relevant links to apply and we will reach out if your experience is aligned with the requirements.

Job Title: Senior Staff Digital IC Design Engineer Location: United Kingdom Job Type: Permanent on site Salary: 65K – 95K GBP Role Overview: • Have in depth knowledge and understanding of best-practice digital design methods., • Be an expert at executing designs via a fully synthesised digital design flow with RTL and logic synthesis., • Be fully conversant with the SystemVerilog standard and digital EDA tools., • Be familiar with the use of constraints and the automatic place-and-route flow for the physical design., • Understand the importance of production test and have experience of design methods to maximize digital test coverage such as scan., • Have experience of design techniques for optimising digital power consumption., • Have experience of debugging digital functions in a lab using suitable test equipment (e.g. mixed-signal oscilloscopes)., • Have experience with scripting languages such as TCL/Python., • Have experience producing accurate and complete documentation. Key Responsibilities: • Development of functional digital blocks and contribution to complete mixed signal ASICs from definition to full production maturity., • Support the Product Definition team with feasibility study, product architecture definition and digital blocks design for FPGA emulation., • Complete RTL design in SystemVerilog of digital functions to meet all system requirements., • Create suitable block-level test benches for comprehensive verification of all digital blocks., • Create suitable behavioural models and top-level test benches for comprehensive verification and regression of all system-level functions and production test functions., • Complete digital synthesis with suitable physical constraints to meet all PPA requirements., • Define and implement DFT architecture. Perform scan insertion, ATPG and insert test points to achieve the required test coverage., • Oversee digital place-and-route, and ensure post-layout timing closure., • Generate all necessary design documentation and participate in design reviews., • Lead and oversee other team members to achieve the above., • Take a lead in digital design methodology improvements within the company Experience Required: • MSc/MEng or PhD in Electronics Engineering or related subject., • Minimum 8 years’ experience in digital IC design using standard cell libraries. If you would like to learn more about this opportunity, please contact me via Jessica@microtech-global.com or call me on +44 1628 206217.

Geophysical Technical Authority – Offshore & Marine Geoscience The Opportunity On behalf of our client, we are very proud to present this exclusive, "once-in-a-five-year" opportunity. We are seeking a recognised "Geophysical Technical Authority" with an established reputation within the offshore and marine geoscience sector. This is a very rare opportunity for an industry-leading geophysicist to shape technical strategy, influence major offshore developments and provide expert guidance across a diverse portfolio of projects spanning Offshore Wind, Oil & Gas, subsea infrastructure and the wider energy transition landscape. Our client, a highly regarded international engineering firm, are recognised for delivering complex marine site characterisation, geophysical investigation and offshore development solutions to their clients worldwide. We are looking for an individual who is viewed as a trusted technical advisor within the industry; someone capable of providing authoritative guidance, driving technical excellence and influencing decision-making at the highest engineering level. Whilst a strong Offshore Wind pedigree would be highly desirable, our client are equally keen to engage with candidates who have built their reputation within Oil & Gas, marine infrastructure, subsea cables, carbon capture and storage (CCS), ports and harbours, defence, or other various offshore development sectors. The successful candidate will play a pivotal role in shaping technical strategy, maintaining the highest standards of technical assurance and supporting the continued growth of a market-leading offshore geoscience capability. Key Responsibilities: • Serve as the organisation's recognised technical authority for offshore geophysics and marine site characterisation., • Provide expert guidance on the planning, acquisition, processing and interpretation of offshore geophysical datasets., • Act as a trusted advisor to clients, project teams and senior stakeholders on geophysical risk, marine geohazards and site characterisation strategies., • Lead technical assurance, peer review and governance activities across major offshore projects., • Influence technical standards, methodologies and best-practice approaches across the business., • Support the development of investigation strategies for offshore wind farms, subsea cable routes, pipelines, offshore infrastructure and wider marine developments., • Drive innovation and the adoption of emerging technologies within offshore geophysics and marine geoscience., • Represent the business externally through industry engagement, conference presentations, technical publications and client-facing activities., • Provide mentorship and technical leadership to geophysicists and multidisciplinary project teams., • Support business development initiatives by contributing technical expertise to bids, proposals and strategic client discussions. Candidate Profile: The successful candidate is likely to be recognised within the industry as a subject matter expert and thought leader in offshore geophysics, with a proven track record of influencing major offshore developments and providing technical leadership on complex projects. Applicants should demonstrate: • Extensive experience within offshore and marine geophysics., • A strong reputation for technical excellence and sound professional judgement., • Demonstrable experience acting as a technical authority, discipline lead, technical director or principal consultant within an offshore environment., • Deep expertise in offshore site characterisation and geophysical interpretation., • Significant experience with geophysical survey techniques, including:, • Multibeam bathymetry, • Side scan sonar, • Sub-bottom profiling, • Magnetometer surveys, • Ultra-high-resolution seismic methods, • Geohazard identification and assessment, • A comprehensive understanding of marine ground model development and the integration of geophysical and geotechnical datasets., • Experience reviewing and assuring high-value technical deliverables., • The ability to communicate complex technical matters effectively to clients, regulators, project teams and executive stakeholders. Desirable Experience: • A strong pedigree within the Offshore Wind sector, including development, construction or operational phases., • Experience supporting Oil & Gas exploration, development or decommissioning projects., • Exposure to subsea cable, interconnector, pipeline or marine infrastructure developments., • Knowledge of carbon capture and storage (CCS), hydrogen, offshore renewables or other energy transition projects., • Chartered status or equivalent professional accreditation., • A recognised profile within the offshore geoscience community through publications, conference presentations, industry committees or technical leadership activities. Qualifications: • Degree in Geophysics, Geology, Earth Sciences, Marine Geoscience or a related discipline., • MSc or PhD desirable but not essential. Personal Attributes: • Recognised technical expert with strong industry credibility., • Respected by peers and clients for technical knowledge and professional integrity., • Strategic thinker with the ability to influence technical direction and business outcomes., • Collaborative leader who enjoys mentoring and developing technical talent., • Commercially aware with a strong client-focused mindset., • Passionate about advancing technical excellence and innovation within offshore geoscience. Why This Opportunity? This appointment offers the opportunity to become a key technical leader within a respected international firm, helping shape the future of offshore development and marine geoscience. The successful candidate will have the platform to influence major projects, guide technical strategy, mentor future leaders and further enhance their standing within the offshore industry. For individuals who have built a reputation as a trusted geophysical expert and are seeking a role where their expertise can genuinely shape industry outcomes, this one could be for you! All applications to james@lmoceans.com. We are looking for cover letters for this application process as well. LMOceans

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Senior Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Developing modern, responsive React front-ends, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Node.js and TypeScript, • React and modern front-end tooling, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • NestJS or equivalent back-end frameworks, • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Node.js / TypeScript, • Hands-on experience developing UIs with React, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

BioTalent is collaborating with a well regarded Bio-Pharmaceutical company. We are in need of a Medical Safety Lead with global experience (in Oncology) to drive safety strategy and pharmacovigilance excellence for a clinical and marketed products on a contract mission from August until December 2026. Offer 1) Full remote working (within UK) is possible 2) Full time (90-100%) 3) Possibility to go permanent You will need to hit the ground running to: • Lead global benefit–risk strategy, signal detection, and risk management activities, • Chair cross-functional Benefit Risk Team and represent at governance forums, • Provide strategic clinical safety & PV leadership across lifecycle and post-marketing, • Support regulatory submissions, inspections, and health authority interactions, • Collaborate with global stakeholders and external partners to ensure compliance and patient safety Key Requirements • Advanced degree (MD preferred; PharmD/PhD with strong experience considered), • ~8+ years in clinical safety, Pharmacovigilance (incl. 5+ years in benefit–risk evaluation), • Alignment to oncology, • Strong experience in global safety strategy, signal management, and regulatory defence, • Deep knowledge of GVP, GCP, and international PV regulations, • Proven leadership in cross-functional, global matrix environments Culture fit: Strategic, collaborative safety leader with strong communication skills, sound judgment, and the ability to deliver in fast-paced, global environments. If this role is for you or someone you know then be in touch with dominic.pritchard@biotalent.ch

Medical Science Liaison - UK - Remote (Travel across the UK is required 60-80%) with some visits to our UK offices About the Company Pharmanovia is a dynamic, fast-growing international pharmaceutical company with a portfolio of over 20 brands across more than 160 markets. Our mission is to improve patient health globally by revitalising niche, tried-and-trusted medicines. Our core behaviours are: • We act decisively, but we never compromise on quality, • We keep our promises and do as we say, • We value our heritage and foster an entrepreneurial spirit, • We reinvest in our future – in our products, our brands and our people, • We give back to our communities Since its inception in 2013, Pharmanovia has grown consistently year on year, focusing on delivering high-quality branded prescription medicines to patients, prescribers, and healthcare providers worldwide. Our growth has enabled the company to reinvest in its products, brands, people, and to give back to its communities. A people business with a strong, supportive culture that encourages innovation and entrepreneurial spirit, our team comprises over 300 employees from 29 nationalities and operates from offices in the UK, Denmark, the Netherlands, Switzerland, Italy, Spain, Germany, the U.A.E., India, Australia and Singapore. We are an agile, committed, and innovative global speciality pharma business and a preferred partner for innovator pharma companies, instigating a paradigm shift in the life cycle management of iconic medicines. We seek to extensively engage with clinical communities to communicate product improvements and prioritise environmental, social, and governance considerations across the business and workforce. Pharmanovia’s therapeutic areas include Cardiovascular, Oncology, Endocrinology and Neurology About the Role Reporting to the Medical Department, you will be a member of the MSL team, whose primary responsibility is to interact with influential stakeholders and healthcare providers nationally. You will collaborate with physicians and other medical experts to support trial management, RWE initiatives, interact with patient organisations, and ensure that healthcare professionals have the most up-to-date information about the medical and clinical benefits of Pharmanovia’s products Responsibilites • Setting up strategies to target the most relevant HCPs for Pharmanovia’s therapeutic efforts and coordinate and align key messages to position Pharmanovia as a credible partner and provider of effective treatments and medicines, • Identifying, developing, and maintaining professional relationships with national KOLs, establishing peer-to-peer collaborations with key medical experts in the therapeutic areas covered by Pharmanovia, • Supporting evidence generation initiatives, including potential investigator site identification, trial recruitment, registries, and presentation of final approved data, involving experts to generate scientific data, including investigator-initiated trials, • .Collaborating with physicians on medical affairs initiatives, including publication and communication plans, advisory boards, medical education opportunities, webinars, training, and speaker development, • Serving as a scientific peer-to-peer resource to external disease experts and internal stakeholders, • Supporting the medical community with up-to-date medical information, robust disease expertise, and product information, • Communicating clinical insights on new data to the company, • Coordinating the gathering of insights from HCPs to support business strategy, such as new product development and market access, • Fostering cross-functional collaboration with internal teams: KAMs, local marketing, market access, etc, • Generating national plans to provide needs-based, value-added support of the medical and scientific community in line with company goals, • Using systems to strategically map, identify, profile, and prioritise thought leaders in line with the medical plan and goals, • Being a credible scientific expert in the given therapeutic area and in the product(s) themselves, • Reporting and documentation of MSL’s daily activities Qualific • A scientific degree (e.g. PhD, PharmD or MD)., • Medically trained and/or clinical experience in Oncology, Gyn-oncology, Internal Medicine, or a related field., • Prior MSL experience of 3-6 years within Oncology Required Skills • Appropriate focus on performance and delivery, • Must excel at working independently and in cross-functional teams. Demonstrates excellent time management skills and can adapt to new circumstances and ideas., • Inclination to seek and analyse data from a variety of sources to support decisions and to align others with the organisation’s overall strategy., • Knowledge of compliance requirements and adherence to all relevant standards., • An entrepreneurial approach to developing new, innovative ideas that will stretch the organisation and push the boundaries within the industry, • Fluency in spoken and written business English is essential, • Travel required Pay range and compensation Package We offer a competitive salary plus a bonus and rewards package, including holidays, employee recognition awards, social events, a pension scheme, and hybrid Working Equal Opportunity Statement Pharmanovia is an equal-opportunity employer. Pharmanovia does not unlawfully discriminate against employees or applicants for employment based on an individual’s race, colour, religion, creed, sex, sexual orientation, gender identity or expression, national origin, genetic information, age, disability, marital status or any other status protected by applicable law. This policy applies to all terms, conditions, and privileges of employment, including recruitment, hiring, placement, compensation, promotion, discipline, and termination. Pharmanovia will make reasonable accommodations for qualified individuals with known disabilities, in accordance with applicable law.

At hyperexponential, we’re building the AI-powered platform that enables the world’s most critical decisions in a $7 trillion industry, which risks to take, and how to price them. These are the decisions that shape real-world outcomes: whether rockets successfully launch into space, autonomous vehicles make it to market, or communities recover after major storms. Until now, insurance has been making billion-dollar decisions using outdated tools. We’re changing that. Our platform brings together data, AI, and human expertise to give insurers the fastest path from submission to decision - helping them move faster, act smarter, and take on more risk with confidence. Backed by a16z, Highland Europe, and Battery Ventures, we’re scaling globally - already trusted by nearly 50 of the world’s largest insurers, with zero churn and billions in premiums flowing through hx. What began as a single product in one market has rapidly evolved into a multi-product, multi-territory platform powering every stage of pricing and underwriting. AI is at the core of what we do - from building the world’s first domain-specific AI peer programmer for insurance (think GitHub Copilot with a PhD in actuarial science) to shaping agentic workflows that reinvent how this industry operates. What makes hx different is the people who build it. Here, impact isn’t tied to title or tenure; it’s defined by the challenges you take on and the discipline you bring. Surrounded by peers who stretch you, you’ll do the best, hardest work of your life in a company engineered to endure. If that sounds like you, join us in building what comes next. The AI Strike Team exists to reimagine how software is built at hx. Rather than layering AI tools on top of traditional development workflows, this team is redefining the software development lifecycle using AI-native practices, enabling dramatic improvements in both engineering velocity and product quality. Operating as a high-autonomy group within the wider Technology organisation, the team is tasked with delivering complex product epics significantly faster than traditional teams while simultaneously building the guardrails required to ensure safety, stability, and compliance at scale. Their work spans the entire hx platform, collaborating closely with product, platform, and infrastructure teams to ship meaningful customer value quickly and responsibly. As a Senior member of this team, you will operate across the entire codebase, using AI tools and agentic workflows to rapidly understand systems, ship features, and improve developer productivity. Beyond delivery, you will help translate these AI-native practices into repeatable patterns that raise the baseline engineering capability of the entire organisation. Check out our _ for a behind the scenes look at the team you would be joining! Design and deliver complex product epics at 3–5x the velocity of baseline engineering teams, ensuring high-quality functionality reaches customers faster without compromising system integrity. Architect AI-assisted guardrails across the SDLC, including autonomous testing pipelines, AI-driven security reviews, and automated code quality agents that maintain stability while enabling rapid iteration. Use AI tools to rapidly map dependencies and navigate unfamiliar parts of the hx codebase, safely delivering cross-domain improvements without relying on traditional code ownership boundaries. Build and evolve AI-native development workflows, integrating best-in-class tooling across coding, testing, CI/CD, and deployment environments. Translate successful strike team practices into documented patterns, reusable tooling, and “paved road” workflows that scale across the wider engineering organisation. Partner with engineers and technical leaders to share knowledge, mentor teams, and accelerate adoption of AI-native engineering practices across hx. Built or significantly evolved AI-assisted engineering workflows that measurably accelerated delivery speed while maintaining production reliability. Delivered complex product features or systems across unfamiliar codebases by rapidly understanding architecture, dependencies, and operational constraints. Architected scalable cloud infrastructure and CI/CD systems that enabled fast, reliable software delivery in production environments. Implemented automated testing, security, or quality systems that reduced operational risk while increasing development velocity. Evaluated and integrated modern AI development tooling, selecting pragmatic solutions that improved developer productivity and software quality. Led or influenced engineering teams to adopt new technical practices, raising standards through mentorship, documentation, and hands-on collaboration. You prefer clearly defined ownership boundaries and predictable roadmaps over navigating ambiguity and moving quickly across unfamiliar systems. You are uncomfortable challenging established engineering practices or experimenting with new approaches to software development. You prefer incremental optimisation of existing workflows rather than fundamentally rethinking how engineering work gets done. If reading our _ leaves you feeling neutral rather than energised, hx may not be the place where you’ll do your best work. We’re building something that asks for commitment and conviction, and we want you to feel excited by the opportunity to grow with us. At hx, we’re committed to salary transparency. You’ll always have clarity on pay early in the process - our Talent Partner will share details with you during initial conversations - and we’re working towards publishing salary information for all roles globally. Because we’re building at the intersection of technology/SaaS and insurance, our roles don’t always map neatly onto traditional benchmarks. Our approach is to design compensation that’s competitive in the market, fair across teams, and aligned with the impact our people make. Equity: We offer equity across all roles at hx, making it a significant component of total compensation. Your talent partner will be able to share more details about this. £5,000 training and conference budget for individual and group development. 25 days of holiday plus 8 bank holidays (33 days total). Company pension scheme via Penfold. Mental health support and therapy via _. Individual wellbeing allowance via Juno. Private healthcare insurance through AXA. Income protection and Life Insurance. Cycle to Work Scheme Top-spec equipment (laptop, screens, adjustable desks, etc.). Regular remote and in-person hackathons, lunch and learns, socials, and game nights. Quarterly team breakfasts and lunches, snacks, drinks fridge, and a fun office at _. Exceptional opportunities for personal development and growth as we build something remarkable together. Initial call with Talent team (30 minutes) Manager Interview (60 minutes) Technical Assessment (system design whiteboard) (120 minutes) Values Interview with Tech Leadership (60 minutes) Offer hxer's are at the centre of everything we build. We know that progress depends on diverse perspectives, and we are committed to creating an environment where everyone can thrive, grow, and make an impact. We recognise there is always more to do, and we take responsibility for shaping a workplace that is not only diverse but genuinely inclusive. Diversity is not just the right thing to do, it is key to solving the complex challenges we choose to take on. By welcoming people from all backgrounds and experiences, we strengthen our ability to question assumptions, push boundaries, and design solutions that endure. If you’re energised by complexity and motivated to grow, we encourage you to apply and join our global team. If this opportunity resonates with you, we encourage you to apply or share it with your connections! Our dedicated talent team reviews all applications, and we promise to provide feedback regardless of the outcome. For more information about applying and to view other opportunities, you can visit our careers page. Please note that background checks will be conducted as part of the hiring process to ensure compliance with our governance policies. We handle all background checks sensitively and in full compliance with relevant regulations. All applicant data will be processed in accordance with data protection regulations and our privacy policy.

TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: _ In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. You are a strategic, analytically minded professional with a passion for bridging scientific insights and cutting-edge technology. You thrive in environments where you can collaborate with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes. With deep domain knowledge in drug discovery/preclinical development, CMC, or Quality, you are skilled at uncovering innovative use cases that drive AI and machine learning applications. Your ability to engage with scientists and business leaders alike makes you a key player in maximizing the value of scientific data. You will need to be a high clock speed and forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside of Life Sciences. You will need to be a high clock-speed, forward-thinking individual with a passion for developing requirements for complex solutions targeted to R&D and Quality personas inside Life Sciences. You embody extreme ownership and have a demonstrated history of deriving maximum value from data through enrichment, analysis, and integration with AI and machine learning applications. You should also be energized by regularly working onsite with customers. You thrive in dynamic, high-impact, face-to-face collaborative environments where you can build deep relationships and drive scientific transformation firsthand. • PhD with 15+ years of industry experience in life sciences, preferably across pharma, biotech, or health tech, with deep domain expertise in discovery, preclinical, CMC, and/or Quality., • Extensive hands-on experience or direct oversight in one or more of the following areas: high throughput screening, preclinical toxicology, materials engineering, analytical development, drug substance (DS) synthesis and manufacturing., • Delivered requirements for AI/ML-driven solutions in operational or productized environments that improved efficiency, reduced cost, and enhanced data utilization., • Extensive hands-on experience with scientific data workflows and lab automation; exposure to FAIR principles and modern data architecture is a plus., • Strong coding or scripting background (e.g., Python, Nextflow, AWS, SDKs) and familiarity with scientific tools, databases, and ontologies is preferred., • Exceptional communication and storytelling ability to engage technical and executive stakeholders., • Prior experience in customer-facing, consulting, or commercial-scientific interface roles., • Customer Data Exploration: Investigate diverse customer datasets, identifying enrichment and AI-readiness opportunities., • Scientific Use Case Development: Collaborate with customers to define, iterate, and implement innovative scientific AI/ML use cases., • Stakeholder Engagement: Conduct onsite interviews and workshops to deeply understand customer challenges and data landscapes., • Data Analysis and Enrichment: Perform exploratory data analysis and define transformation workflows that enable scientific AI., • Workflow Documentation: Develop visual documentation including workflow diagrams, ERDs, and ontology definitions., • AI Model Evaluation: Provide practical scientific input on model output, with suggestions to improve real-world performance., • Customer Enablement: Deliver onsite demonstrations, conduct working sessions, and act as a trusted advisor in AI adoption., • Strategic Insight: Propose new directions, experiments, or platforms that can amplify scientific discovery and development., • Competitive Salary and equity in a fast-growing company., • Supportive, team-oriented culture of continuous improvement., • Generous paid time off (PTO)., • Remote working opportunities, when not at customer sites

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

Computer Vision Research Engineer (PAD) About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Platform AI Lead Location: WeWork Waterloo - Hybrid (2+ days a week in office) Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Computer Vision Research Engineer to join our Platform AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. • Research, prototype, and evaluate new approaches to strengthen biometric security against both presentation attacks, such as masks, printed photos, and screen replays, and emerging threats such as face swaps, synthetic media, and injection attacks., • Improve the accuracy, robustness, and performance of our biometric systems through experimentation, model development, and analysis of system weaknesses., • Work closely with Data Engineers and Machine Learning Engineers to understand data challenges, investigate issues, and develop scalable solutions for biometric security., • Help develop datasets, tools, and evaluation methods that support the testing and improvement of biometric systems., • Proactively identify new attack patterns, failure modes, and opportunities to strengthen the resilience of our biometric systems., • Stay up to date with developments in computer vision, machine learning, and biometric security, and apply relevant ideas to our products., • Collaborate with engineers and researchers to share findings and bring new ideas into production., • A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience., • Proven proficiency or experience in machine learning and computer vision., • Proactive, highly motivated, and curious, with a desire to understand problems and find effective solutions., • Comfortable turning ideas into experiments and prototypes, and using evidence to drive decisions., • Interest in modern AI technologies, including generative AI and agentic systems, and a willingness to explore how they can be applied to real-world problems., • Strong communication skills and enjoys working with cross-functional teams., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Overview We're looking to hire for our Data side of our AI team at Speechify. This role is responsible for all aspects of data collection to support our model training operations. We are able to build high-quality datasets at petabyte-scale and low cost through a tight integration of infrastructure, engineering, and research work. We are looking for a skilled Software Engineer to join us. What You’ll Do • Be scrappy to find new sources of audio data and bring it into our ingestion pipeline, • Operate and extend the cloud infrastructure for our ingestion pipeline, currently running on GCP and managed with Terraform., • Collaborate closely with our Scientists to shift the cost/throughput/quality frontier, delivering richer data at bigger scale and lower cost to power our next-generation models., • Collaborate with others on the AI Team and Speechify Leadership to craft the AI Team’s dataset roadmap to power Speechify’s next-generation consumer and enterprise products. An Ideal Candidate Should Have • BS/MS/PhD in Computer Science or a related field., • 5+ years of industry experience in software development., • Proficiency with bash/Python scripting in Linux environments, • Proficiency in Docker and Infrastructure-as-Code concepts and professional experience with at least one major Cloud Provider (we use GCP), • Experience with web crawlers, large-scale data processing workflows is a plus, • Ability to handle multiple tasks and adapt to changing priorities., • Strong communication skills, both written and verbal. What we offer • A fast-growing environment where you can help shape the company and product., • An entrepreneurial-minded team that supports risk, intuition, and hustle., • A hands-off management approach so you can focus and do your best work., • An opportunity to make a big impact in a transformative industry., • Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture., • Opportunity to work on a life-changing product that millions of people use., • Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more., • Work in one of the fastest-growing sectors of tech, the intersection of artificial intelligence and audio. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva’s European Business Consulting Group is a priority growth area for Veeva. It offers a differentiated consulting service in Life Sciences with a compelling value proposition - building on Veeva’s position as the digital partner of choice for 85% of the top 20 Pharmaceutical companies. As a Senior Consultant, you will manage complex and novel consulting projects for Veeva customers – managing teams and planning, organizing, and tracking all aspects of delivery. You will analyze complex problems, build insightful solutions, and develop close working relationships with customers to deliver demonstrable, sustainable value at the forefront of digital and commercial innovation. Opportunities are available across Europe for this role as this is a remote position. There is no work location requirement if a candidate is in proximity to an airport and able to meet travel requirements. Qualified candidates must be legally authorized to be employed in the EU (for EU locations) and the UK (for UK-based candidates). \n What You’ll Do • As a Senior Consultant, you will be expected to:, • Lead complex projects as the operational face of the Veeva Business Consulting team, with responsibility for planning, organizing, and managing all aspects of delivery, including scope, quality, resources, risk, and timelines, • Be responsible for the end-to-end design, build, and delivery of deliverables that meet overall project goals and objectives, • Identify and proactively solve problems faced by the client, • Be a trusted client contact for operational and strategic questions, developing the relationship through face-to-face discussions, workshops, telephone and email contact, • Manage the work and priorities of team members in your project (s), • Support and mentor Consultants and Associates in developing skills and professional capabilities, • Bring clients a superior level of Industry, market, and functional insight, • Proactively lead business development opportunities and proposals, • Develop and disseminate thought leadership and campaigns that differentiate Veeva Business Consulting in the market Requirements • Bachelor's degree and excellent academic record, • 8+ years of consulting experience in an established strategic/management consulting organization, • Experience in Life Sciences, particularly in the Commercial and Medical area, • Good understanding of Commercial, with proven expertise in two or more of the following areas: multi-channel strategy and optimization, product launch, go-to-market strategy, commercial model design, key account planning and management, segmentation and targeting, insight and analytics, brand strategy, and medical affairs, • Good understanding of commercial / marketing technology and, ideally, Veeva's platforms and solutions and how business consulting offerings can both leverage and support these, • Good understanding of the business capabilities and drivers underpinning digital technology in Health and life sciences and the market forces and trends driving industry changes in Health & Life Sciences, • Experience in leading business development activities to build customer relationships and sell work, • Proven analytical skills, able to quantitatively and qualitatively assess problems and communicate responses across a range of issues, • A problem-solving mindset: anticipating issues early, analyzing and proactively finding solutions, • Demonstrated leadership of others in the delivery of complex deliverables, • Highly effective project management skills, • Able to work effectively with people at all levels in an organization and quickly establish credibility, • Have a strong personal impact and can influence and persuade a range of stakeholders, • An effective communicator verbally and written, in English and in the local office language Nice to Have • Graduate-level qualification, PhD, and/or MBA, • Strong network in Top 20 Life Science companies, • Experience with digital technologies – channels, analytics tools, emerging technology, • Experience working with SaaS solutions, • Understanding/experience of AI and its applications in sales and marketing, • Fluency in additional European languages Perks & Benefits • Highly competitive remuneration, • Opportunity for rapid growth and progression, • Allocations for continuous learning & development, • Health & wellness programs \n #RemoteUK BCCommStrategy Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational STEM problems that simulate real scientific workflows., • Create problems that require Python programming to solve., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches., • Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)., • Document problem statements clearly and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field., • You have at least 5 years of Machine Learning experience with proven business impact., • Strong programming skills in Python (numpy, pandas, scipy, sklearn)., • Solid understanding of numerical methods and computational algorithms., • Research or industry experience involving computational problem-solving., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

About the role An exciting opportunity for a Senior Solutions Architect! In this role, you will build and deliver quantum optimisation solutions for customer applications while working with delivery leads, applications developers, and other solutions architects within the professional services department. Additionally, you will work with our internal teams and external customers to review customer business problems, map these problems to D-Wave’s hybrid solvers and advanced quantum systems, formulate solutions, build and test prototypes, and build applications that run-in production for our customers. What you'll do • Build customer applications on the D-Wave quantum computer and internal tools, • Ensure successful delivery of projects to achieve business value for customers, • Communicate capabilities with customers and ask probing questions to understand the problem and propose solutions, • Gather requirements on customer use cases, lead brainstorming sessions, consult with customers on potential solutions, model use cases mathematically, and design and develop quantum hybrid applications, • Build and maintain relationships with leaders across various groups within D-Wave, • Share customer and project-related insights with D-Wave's tools and product teams and help prioritize new product features, • Organize, prepare, and present technical information in a clear and effective manner, • Participate in the development of an inclusive, helpful, fun environment About You • Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical field preferred, • A professional with 5+ years experience with Python. Knowledge of NumPy, Pandas, Scikit-learn, and Networkx is an extra bonus!, • Experienced working directly with external customers (ideally in a consulting role) to identify requirements and consult on solutions to complex business problems, • Experienced using leading optimisation tools (e.g., CPLEX, Gurobi, etc.), • Practical with a view of what it means to solve customer problems, with a strong sense of urgency and an understanding of project delivery requirements, • Strong knowledge of mathematical modeling and optimisation solution techniques, • Experience with a version control software such as Git, • Experience building applications to solve complex business problems for customers in a production environment, • Collaborative mindset and solid interpersonal skills, • Passionate for writing state-of-the-art Python code, • Experience providing technical leadership from business problem definition, functional requirements specifications, to solution design and implementation, • Proven record of successful on-time delivery of projects with a high degree of predictability and quality, • Preferably experienced within industries such as Manufacturing, Logistics, Retail, Services A D-Waver's DNA • We look at the future and say “why not”; we see possibilities where others see problems or routines. We show the way ahead and are committed to achieving ambitious goals., • We practice straight talk and listen generously to each other with empathy. We value different opinions and points of views. We ensure that we connect outside as well as inside to learn from others and inspire each other., • We hold ourselves accountable for delivering results. We make decisions & take responsibility so that we can act & support each other., • As leaders we motivate & engage our teams to undertake beyond what they originally thought possible, by developing our teams & creating the conditions for people to grow and empower themselves through enabling & coaching. Our Compensation Philosophy is Simple but Powerful: We believe providing D-Wavers with company ownership, competitive pay, and a range of meaningful benefits is the start of creating a culture where people want to give the best they’ve got — not because they’re simply making money, but because they’ve fallen in love with our vision, mission, values, and team. During the interview process, your Recruiter will review our total rewards (base, equity, bonus, perks, benefit, culture) . The final offer is determined by your proficiencies within this level. Inclusion: We celebrate diverse perspectives to drive innovation in our pursuit. Our employees range from distinguished domain experts with decades of experience in their respective fields, to bright and motivated graduates eager to make their mark. Our diverse and innovative team will make you feel appreciated, supported and empower your career growth at D-Wave. The Fine Print: No 3rd party candidates will be accepted It is D-Wave Systems Inc. policy to provide equal employment opportunity (EEO) to all persons regardless of race, color, religion, sex, national origin, age, sexual orientation, gender identity, genetic information, physical or mental disability, protected veteran status, or any other characteristic protected by federal, state/provincial, local law.

About the Role: This role is for Maternity Cover and will be on an initial 12 month contract and based in London at Bankside 2. Omnicom Media Group Europe is seeking a Finance Professional with +2 years’ experience and with a strong background in Billing. The Revenue Controller will be responsible for the Revenue for the Annalect Division within Omnicom Media Group Europe. The role will assist with forecasting, revenue recognition, billings and will need to liaise with the Senior Leadership Team, Clients and with other Omnicom Group Companies. The Revenue Controller will report directly to Finance Director OMG EMEA and the Finance Director Annalect EMEA and will be joining a 4-person Finance Team. Job Responsibilities Include: • Control of all Annalect EMEA Revenue including attending Senior Leadership Team calls, liaising with Account Handlers, Other Group Finance Teams and Annalect CFO., • Reconciling the Revenue and Accrued Revenue and chasing Account Handlers to invoice., • Contacting Clients and or Group Companies for PO’s, • Maintaining the Client Revenue System to show what has been invoiced., • Invoicing Management fees and emailing to markets., • Raising of the research fee invoices, • Raising Invoices for the Group Passthrough costs that we receive as the EMEA HQ, • Credit Control - chasing markets for payment, resolving any queries and bringing any issues to Finance Directors attention., • Agreeing Monthly Interco reconciliations with Omnicom Group companies (approx. 30 countries) in order for Finance Manager to load to Group Reporting System., • Monthly confirming unbilled management fees for Group reporting, • Daily posting of Cash receipts and payments from Group Companies and Clients, • Reconciling all Annalect Data costs and invoicing the markets, • Ad hoc projects for Annalect Finance Director. Requirements • +2 Years of Billing, Revenue experience, • Strong Excel Skills with the ability to put together reports for Management Review, • Strong skills in Communication, attention to detail and taking ownership of deliverables, • The role will be office based 3 days a week and working from home on the other 2. About the Agency: Omnicom Media Group Europe (OMG EMEA) is the media division of Omnicom Group Inc., headquartered in London. We deliver transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OMG connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world’s leading brands in OMG agencies around the globe. Flexible Working At Omnicom Media Group, we are committed to supporting flexibility for our people while fostering collaboration, innovation, and teamwork. We have a hybrid working model (three days in the office, two working remotely), to ensure that we meet the needs of both our people and our business, balancing the benefits of in-person connections with the flexibility of remote working. Our standard working hours are 9:30 – 17:30, but we offer the ability to flex around core hours of 10:30 – 16:30 to give our people flexibility on how they manage their working day, whether that’s in the office or working remotely. For example, you could start work at 8:30 and finish at 16:30 or start at 10:30 and finish at 18:30. We encourage open conversations between our people and managers to help navigate high-need periods and individual circumstances. Our goal is to create an environment where people feel genuinely supported to do their best - both in their careers and in their lives outside of work. Be Your Best We want everyone to make the most of the opportunity to shine and showcase your talents and we are happy to make adjustments in the recruitment process so you can be your best. Please discuss any specific requirements with your dedicated Talent Team member or if you would feel more comfortable, you can email us confidentially at _ to let us know how we can support you. Diversity, Equity & Inclusion at OMG At OMG, our vision is to be an agency where difference is valued and everyone is able to thrive in a culture of equality, inclusion and belonging. We are committed to providing a truly inclusive environment that reflects today’s society, where everyone is able to bring their true selves to work, and where diverse voices and backgrounds are valued, heard, and well-represented. We will process your personal data in accordance with our Recruitment Privacy Notice which is available on _

About AQEMIA AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology. Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data. We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization. About the team you’ll join:As a Senior AI Research Scientist, you will join one of Aqemia’s Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. You will be a hands-on technical expert pushing the boundaries of what AI can do for drug discovery. Your deep knowledge of machine learning, strong coding foundations, and applied experience in model development will play a key role in advancing our Drug Discovery Platform.You will act as a technical mentor, contribute to high-impact R&D projects, and help integrate innovative AI methodologies into real-world drug discovery applications. • Lead the design and the technical implementation of novel ML algorithms with a strong focus on deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and protein-ligand interactions., • Take part in cutting-edge research and bibliographic exploration. You’ll identify relevant recent publications, benchmark promising ideas, and propose model or pipeline improvements., • Act as a mentor to junior team members, offering guidance on system design, model implementation, debugging, and good coding practices., • Collaborate with AI researchers, computational chemists, and drug discovery teams to translate AI models into actionable scientific insights., • Be deeply involved in coding, from prototyping to deploying production-ready models. You should have a strong software engineering mindset and a passion for writing clean, efficient, and scalable code., • Share best practices in deep learning model development, testing, and reproducibility within the team., • Scale AI models for real-world applications, optimizing model efficiency, interpretability, and generalization to unseen chemical spaces., • Strong problem-solving skills, autonomy and a collaborative mindset., • PhD or equivalent practical experience in Machine Learning, Computer Science, Applied Mathematics or a related field, with at least 8 years of experience., • Strong programming skills in Python and proficiency with Deep Learning frameworks (e.g., PyTorch, JAX, TensorFlow)., • Demonstrated hands-on experience implementing and deploying deep learning models in production or research environments., • Strong scientific rigor, curiosity, and ability to perform bibliographic research and exploratory R&D., • Experience in drug discovery, chemistry, or physics., • Experience with physics-informed ML models., • Familiarity with high-performance computing (HPC) and cloud-based ML pipelines.Interview Process- Screening call with Talent Acquisition (30 min)- Interview with your future Manager (45 min)- 1st technical interview: Paper review (1.5 hours)- 2nd technical interview: Take-home ML case (1.5 hours)- Interview with VP Platform and co-founders (1 hour each) Preferred MindsetAt Aqemia, we believe that great science thrives in the right mindset and culture. We are looking for candidates who embody the following principles: Pragmatic and Impact-Driven – Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability.Eagerness to Learn – A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.Love for High Scientific Challenges – Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.Team-Oriented – A collaborative spirit, thriving in an interdisciplinary environment.Humility – Open to feedback and different perspectives, always striving for improvement. Aqemia’s Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.Interdisciplinary Team : brilliant talent from tech and life sciences.DeepTech Recognition: Part of French Tech 120 and France 2030.Prime Location : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.International Environment : The work language is English - relocation support and French lessons granted if needed.Strong Financial Backing : $100M raised from leading European and International investors

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You’ll Do • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++., • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability., • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities., • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform., • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases., • Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions. An ideal candidate should have Required: • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM)., • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code., • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability., • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software., • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant)., • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions., • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus., • A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus: • Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks., • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load)., • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions., • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications., • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications., • Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management. What we offer • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience., • A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker., • Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect)., • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision., • A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

ML Engineer About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Core AI Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (10%) + Share Options + UK iProov Benefits iProov is looking for a Machine Learning Engineer to join our Core AI team. You will be responsible for working on the biometric systems, developing new techniques and algorithms ensuring security and performance. • Drive research projects in the areas of computer vision, machine learning and biometrics., • Research new biometric systems and contribute to prototyping new products - by testing and integrating existing technologies or by designing a new solution., • Develop and train deep learning models for face verification, liveness and attack detection., • Improve upon data and evaluation strategies, including synthetic and adversarial data., • Investigate failure modes and improve generalisation, robustness and fairness., • Collaborate cross-functionally to turn models into production-quality services., • A Masters or PhD in a numerate discipline such as Computer Science, Engineering, Computational Neuroscience., • Proven proficiency or experience in machine learning and computer vision., • Enjoys collaborating with cross-functional teams., • Proficiency in Python and modern deep learning frameworks., • Strong problem-solving skills and out-of-box thinking. Extras: • Experience working on 0->1 products., • Experience generating and using synthetic data, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news articles, websites – into audio, so they can read faster, read more, and remember more. Speechify’s text-to-speech reading products include its iOS app, Android App, Mac App, Chrome Extension, and Web App. Google recently named Speechify the Chrome Extension of the Year and Apple named Speechify its 2025 Design Award winner for Inclusivity. Today, nearly 200 people around the globe work on Speechify in a 100% distributed setting – Speechify has no office. These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies What You’ll Do • Lead the design, architecture, and development of native Windows desktop applications using Windows App SDK, WinUI (or related UI frameworks), C#, XAML, and — when needed — C++., • Define and enforce best-practices for Windows desktop development across the codebase: code architecture, performance, memory usage, responsive UI, cross-version compatibility (Windows 10/11+), and maintainability., • Drive accessibility efforts: integrate and validate support for accessibility APIs (e.g. Microsoft UI Automation or other relevant Windows accessibility frameworks), ensure UI controls, focus management, keyboard navigation, screen-reader support, and usability for users with disabilities., • Collaborate closely with product designers, UX researchers, QA, and other stakeholders to shape feature planning, UI/UX architecture, and long-term roadmap for the Windows platform., • Take ownership of full lifecycle of features: conception → design → implementation → testing → release → maintenance. Ensure quality, reliability, and consistency across releases., • Identify, diagnose, and resolve complex bugs, performance bottlenecks, memory leaks, rendering issues, or compatibility problems — and propose robust architectural or design solutions. An ideal candidate should have Required: • 3+ in Windows desktop application development using Windows App SDK, WinUI (or similar), C#, XAML — and ideally additional experience with native Windows code (C++, Win32/WinRT/COM)., • Deep understanding of Windows application architecture, including interop between managed code (.NET) and native code., • Proven track record of designing, building, and shipping production-quality desktop applications, with an emphasis on reliability, performance, scalability, and maintainability., • Strong experience with accessibility APIs on Windows (e.g. Microsoft UI Automation or similar), and a dedication to building accessible and inclusive software., • Excellent software engineering fundamentals: OOP, design patterns, data structures, algorithms, memory management, multi-threading or asynchronous programming (where relevant)., • Experience leading technical design, mentoring other engineers, conducting code reviews, and making architecture-level decisions., • Strong communication skills; ability to articulate tradeoffs, collaborate with cross-functional teams, and drive consensus., • A user-centric mindset: focus on building polished, intuitive, and accessible experiences for end users. Preferred / Bonus: • Experience with writing automated tests for UI — unit tests, integration tests, UI automation tests; familiarity with relevant testing frameworks., • Experience with performance optimization for desktop apps (memory usage, startup time, rendering performance, high-DPI support, responsiveness under load)., • Experience with localization/globalization, right-to-left UI support, internationalization, accessibility for multiple regions., • Familiarity with telemetry, analytics, crash reporting, logging, and error monitoring in desktop applications., • Previous experience in shaping CI/CD workflows, release pipelines, and deployment strategies for desktop applications., • Demonstrated ability to take ownership of feature areas or modules and drive them long-term, including maintenance, refactoring, and technical debt management. What we offer • A high-impact role: you will define architecture, shape the future of our Windows product, and directly influence what millions of users see and experience., • A collaborative, flat-structure engineering culture — you are not just a coder, but a builder and a decision-maker., • Opportunities to lead — mentor others, steer technical direction, and grow into broader technical leadership (e.g. Tech Lead, Architect)., • Flexibility, autonomy, and responsibility: you define how to solve problems, own features end-to-end, and contribute to long-term product vision., • A purpose-driven mission: building software that’s reliable, accessible, and user-centered — making a real difference for people. Think you’re a good fit for this job? Tell us more about yourself and why you're interested in the role when you apply. And don’t forget to include links to your portfolio and LinkedIn. Not looking but know someone who would make a great fit? Refer them! Speechify is committed to a diverse and inclusive workplace. Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in London. You will be joining the EMEA Development team and as a Quant Developer, you will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site. Responsibilities • Designing and implementing a low latency high-frequency trading platform, • Assisting in the development of a tick by tick backtesting research platform, • Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources, • Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates, • Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity, • Creating tools to analyze data and generate insights that research decisions are based on Qualifications • Bachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience), • A strong background in data structures, algorithms, and object-oriented programming in C++, • Brilliant problem-solving abilities, • The ability to manage multiple tasks in a fast-paced environment, • Strong communication skills, • Python and/or financial markets experience is preferred but not required Benefits Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: • Generous paid time off policies, • Savings plans and other financial wellness tools available in each region, • Hybrid working opportunities, • Free breakfast, lunch, and snacks daily, • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more), • Company-sponsored sports teams and fitness events, • Volunteer opportunities and charitable giving, • Social events, happy hours, treats, and celebrations throughout the year, • Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer.

NPD Scientist required on a permanent basis in Manchester. Requiring a postgraduate qualification (MSc or PhD) in a relevant scientific discipline such as Chemistry, Biotechnology, Cosmetic Science or similar. Experience within hair or scalp care is highly advantageous, along with an interest in active ingredient innovation, performance validation and commercialisation. Title: NPD Scientist – Hair & Scalp Care Location: Manchester Salary: £30,000 - £40,000 per annum (dependent on experience) Term: Permanent SRG are working with a highly innovative company who have been creating speciality products for a range of markets, including personal care and cosmetics, for over 30 years. As they expand their research and development capability, they are now seeking a NPD Scientist to join their technical team. This position offers the opportunity to play a key role in the creation of next‑generation active ingredients, supporting projects from early‑stage concept through to commercial readiness. The successful candidate will work at the interface of chemistry, biotechnology and applied science, contributing directly to the development of differentiated, market‑ready solutions within hair and scalp care applications. This role would suit a scientifically driven individual who enjoys hands‑on laboratory work, problem solving and translating research into tangible commercial outcomes. Benefits: You will join an innovative, science‑led organisation with a long‑standing track record in ingredient innovation. 37.5 working hours/week, 8.30am and 4.40pm, Mon-Fri. Excellent company pension, with 25 days holiday plus 8 statutory bank holidays. Role / Description • Contributing to the ideation and development of new functional actives aligned with business and market objectives, • Developing laboratory‑scale production routes using chemical, biological or bio‑derived methodologies, • Refining and improving processes to enhance consistency, efficiency and suitability for scale‑up, • Assessing ingredient performance through experimental data, literature review and external testing where required, • Supporting the transition of projects from laboratory development into pilot and manufacturing environments, • Working closely with formulation, quality and commercial teams to ensure technical viability and application fit, • Preparing clear technical documentation, reports and data summaries to support decision‑making and launches, • Maintaining accurate experimental records and adhering to laboratory, quality and safety standards Requirements • Postgraduate qualification (MSc or PhD) in a relevant scientific discipline such as chemistry, biotechnology, cosmetic science or a related field, • Industrial experience within product development, ingredient research or applied R&D, • Background in working with natural, bio‑derived or functional ingredients is advantageous, • Experience supporting scale‑up, process transfer or cross‑departmental development projects is beneficial For more information please call Chris Beckenham on 0161 667 1795. Keywords: phd, research, biology, biotechnology, biochemistry, doctorate, msc, speciality ingredients, molecule, microbiology, microbiological, plant source, personal care, biosynthetic, bioprocess, bioprocesses, fermentation, bio fermentation, upstream, downstream, cell cultivation, metabolite, cell lysates, metabolic pathway, enzyme, aseptic techniques, industrial biotechnology, e.coli, bacillus, yeast, bioreactor, purification, HG2, GMO, extraction, natural source, ingredients, ingredient mechanism, hair care, scalp care, trichology, sustainability, natural, ayurvedic, biotech-derived, enzymatic.

Strategic Principal Medical Writer - Scientific leadership. Real influence. Work that genuinely matters. If you’re ready to step beyond delivery and truly shape strategy, this could be your next move. We’re looking for a Strategic Principal Medical Writer/Scientific Lead to join a growing, independent MedComms agency working on a high-profile global medical affairs accounts. This is a role where you won’t just “support strategy”. You’ll help define it. You’ll sit at the heart of the account as a trusted scientific partner, balancing hands-on content leadership with high-level strategic input. You’ll: • Lead scientific direction across key workstreams and programmes, • Oversee the development and review of high-quality medical affairs content, • Partner closely with global clients, providing confident, strategic counsel, • Engage with leading external experts in the field, • Drive consistency, quality, and scientific rigour across deliverables, • Mentor and develop junior writers, helping to raise the bar across the team, • Contribute to shaping the longer-term direction of the account What they’re looking for: • Strong background in medical affairs writing within MedComms, • Proven experience in respiratory and/or immunology (COPD highly desirable), • Someone comfortable operating at a strategic level, not just delivery, • Confident client communicator, able to challenge and advise, • Experience mentoring or line managing team members, • Resilient, adaptable, and thrives in a fast-paced environment, • PhD or MSc in a biological, biomedical, pharmacological or medical discipline This is an agency that genuinely looks after its people while delivering standout work. You’ll get: • £55,000–£65,000 salary, • Industry-leading bonus scheme, • Office time in Manchester or fully remote, • A genuinely supportive, down-to-earth team, • Clear, realistic career progression, • Strong work/life balance If you’re looking for a role where you can lead, influence, and grow, without sacrificing balance, this is well worth a conversation. #medicalwriting #medicalcommunications #MedicalTalent #medcommsjobs

Overview Cactus Life Sciences partners with the global biopharma industry to drive innovation and elevate patient outcomes through agile, science-driven medical communications. We transform complex data into actionable insights, bridging the critical gaps between research, decision-making, and real-world healthcare impact. Location: This role operates on a hybrid model, with one day per month in our Cheadle (Manchester) office. Job Responsibilities • Take ownership for developing (write, review, proofread, and data-check) high-quality, client-ready scientific and medical materials like manuscripts, abstracts, posters, congress and meetings materials, and literature searches and reviews according to client and audience needs with excellent attention to detail., • Actively involve in reviewing materials developed by scientific writers to ensure strategic alignment and scientific accuracy as needed and provide clear constructive feedback, support, and supervision to writers., • Develop a deep understanding of product/accounts to enable meaningful interactions with clients and authors, including consultancy where necessary., • Build and maintain long-standing relationships with international pharma clients, healthcare professionals, and key stakeholders like authors, reviewers and KOLs across therapeutic areas, while anticipating their needs and providing strategic guidance to improve scientific content and data dissemination., • Effectively and proactively communicate with team members, authors/faculty, clients and vendors., • Apply your scientific and creative knowledge and work closely with client directors on developing effective medical communications initiatives in the digital space, including publication extenders, creation of infographics, interactive assets, website content, patient narratives, and medical information engagement plans., • Support the creation of visual content through effective data visualization techniques and contribute to innovative “out of the box” solutions for medical writing projects., • Ensure all materials align with client requirements, style guides, templates, preferences, and CACTUS internal SOPs, updating documents consistently to keep all content current and compliant., • Perform as a document specialist, provide intellectual input across document types, and contribute to making cutting-edge research accessible to specific audiences as appropriate, by maintaining current awareness of developments across therapeutic areas or disciplines., • Support with pitches, both during the preparation phase and the actual pitch., • Attend workshops/seminars/training to hone your skills and contribute to organizational objectives., • Attend client and other external meetings and support senior team members as needed. Qualifications and Prerequisites • Must have bilingual German–English proficiency at a native or near-native level, with strong scientific writing skills., • PhD in medical, life or health sciences, or pharmacy or Masters degree in life sciences., • At least 3 years’ experience as a medical writer within the pharmaceutical industry, ideally within a medical communications agency., • Clear, concise, scientific style of writing, with a high level of attention to detail and excellent language skills., • Literature reviewing and evaluation capabilities., • Ability to adapt writing style to different materials and target audiences., • Basic knowledge of biostatistics., • Ability to multi-task and work under tight timelines. Benefits of the role • Annual leaves and public holidays., • Statutory leaves including SSP, maternity and paternity leaves., • Holistic wellness support with access to fitness club and sportive activities., • Financial security through life assurance and income protection., • Retirement savings plan with employer contributions. Application Process Before applying, please ensure you meet the role requirements listed above and have legal authorization to work in the country where this role is advertised. Our selection process includes two Technical Interviews with the hiring manager and peers, followed by a Technical Assessment, where candidates will have agreed upon timeline to complete the task. The final round will be the HR Interview. All interactions will be conducted virtually via MS Teams. AI at Cactus Life Sciences The life sciences industry is undergoing a fundamental shift in how scientific knowledge is created, communicated, and delivered. We are building our work around it. AI is embedded meaningfully across everything we do, through proprietary platforms purpose-built for life sciences and generative tools that deliver measurable value to our clients. It is core to how we operate, and an expected way of working for everyone who joins us. We believe in Human-Anchored AI™: whatever your discipline - science, communications, strategy, or operations, you will work in an environment where AI augments your expertise rather than replaces it. You will build skills that are in genuine demand and still taking shape across the industry. If you are curious and focused on building capabilities for the world where human intelligence meets artificial intelligence, this is where you belong. Equal Opportunity Our hiring practices reflect our commitment to providing equal opportunities and creating an environment where everyone can thrive, develop, and succeed. We celebrate the uniqueness of our team members and prohibit discrimination of any kind, based on race, colour, religion, gender identity, sexual orientation, age, marital status, disability, or any other protected characteristic. About Us At Cactus Life Sciences (cactuslifesciences.com), we believe the future of medical communications lies at the intersection of science, technology, and human connection. Headquartered in Princeton, New Jersey, with teams in Switzerland, the United Kingdom, India, and Japan, we help biopharmaceutical organizations redefine scientific exchange—leveraging AI, automation, and innovation while keeping patients at the heart of everything we do. Our expertise spans medical strategy, scientific content development, and medical education across therapeutic areas and the product lifecycle. By blending scientific rigor, agile operational models, and future-ready technologies, we partner with medical affairs teams to catalyze their transformation, adapt to a changing landscape, and drive meaningful outcomes for healthcare communities worldwide.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational STEM problems that simulate real scientific workflows., • Create problems that require Python programming to solve., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches., • Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)., • Document problem statements clearly and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field., • You have at least 5 years of Machine Learning experience with proven business impact., • Strong programming skills in Python (numpy, pandas, scipy, sklearn)., • Solid understanding of numerical methods and computational algorithms., • Research or industry experience involving computational problem-solving., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

At Nexperia Manchester we are strengthening our Diffusion Equipment Engineering team by hiring a Senior Equipment Engineer to join our team of 100+ skilled professionals. In this role you will lead effective equipment maintenance programmes for specialist tools worth up to the value of £10m in a fast paced, high tech cleanroom environment. If you have hands-on senior level equipment fault finding and diagnostics experience from within the semiconductor industry, we want to hear from you. What you will do Working on a rotating days shift pattern with a 38% shift allowance, you will take ownership of maintaining, optimising and improving critical manufacturing equipment to ensure safe, stable and high-performance operation across the fab. You will play a key role in keeping our high-volume wafer processing tools running reliably and efficiently, supporting a site that produces over 14,000 semiconductor wafers each week. As a Senior Equipment Engineer, you will lead maintenance programmes, diagnose complex issues, drive improvement actions and strengthen the wider engineering team through documentation, training and expert support. You will also coach junior colleagues and ensure the department remains agile and responsive to operational needs. Key responsibilities include: • Leading effective equipment maintenance programmes to ensure safe and stable operation, • Evaluating, diagnosing and repairing complex equipment issues across high-volume wafer tools, • Monitoring, maintaining and optimising equipment daily to enhance performance and prevent downtime, • Training and mentoring less experienced engineers to support skills development across the team, • Developing and maintaining documentation and procedures for equipment checks and maintenance, • Conducting and directing equipment experiments, improvement actions and capability projects, • Interfacing with shift engineers to resolve challenging repair activities and technical escalations, • Remaining flexible and responsive to the changing needs of the department What you will need Essential requirements: • Degree /HNC/HNDor relevant qualification in a scientific or engineering discipline or equivalent experience, • Senior level experience inmaintainingequipment within a light engineering or robotics background, • Solid understanding of electronic and mechanical principles, • Proven fault-finding and diagnostic skills, • Great communicationskills, both written and verbally, • Established trainingskills and technical familiarity with product and equipment, • Knowledge of tool FMEA/RCA and standard quality toolsi.e4c/8ds, • Ability to work a rotating days shift pattern 7am-7pm Desirable experience: • Previousexposure to specialised semiconductor equipment is preferred, • A minimum of 5 years of industryexperience with a proventrack recordof improvements within technology Interview process Stage 1: Recruiter review Stage 2: 30 mins Telephone or teams interview Stage 3: 60 mins on site interview and tour What your benefits will include: • A salary of £60,000-£69,000 (DOE), inclusive of shift allowance, • Bonus scheme of up to 6%, • 9% Employer pension contribution, • Subsidised canteen, • Income protection, • 12 x salary life assurance, • 24.5 days annual leave + 182 roster days off, • On-site medical centre, • Flexible benefits scheme, • Retail and Entertainment discounts Professional Development Opportunity to complete a leadership and management qualification, possibility for funded academic support up to PhD level, employee goal setting and development plans, huge growth potential both internally and globally within the business, with both management and technical pathways. Corporate Social Responsibility & Sustainability A global commitment to becoming carbon neutral by 2035, working with suppliers who embrace and comply with the Nexperia Supplier Code of Conduct, and paid time off for every employee to support charitable work. Diversity, Equity, and InclusionCorporate members of Neurodiversity in Business and a Disability Confident Employer. Dedicated Employee Resource Groups for Neuroinclusion, the LGBTQ+ community, and Women in Nexperia, with a commitment to increase women in management positions to 30% by 2030. JTRA1_UKTJ

Territory will include multiple countries in the EU. Serving as a value-added resource and extension of the Company the Clinical Trial Liaison (CTL) will support the company's Ophthalmology pipeline. The CTL supports the execution of country medical plans related to clinical trial engagements. The CTL will work full time to educate, analyze, and resolve issues with clinical research sites and investigators. This role involves compliant collaboration with KOLs, investigators, research staff members, advocacy groups to build strong professional partnerships, provide credible scientific expertise, and serve as a field-based extension to support the company's clinical trial programs. Essential Duties And Responsibilities Site and Investigator Partnerships • Create investigator engagement plans to support site identification and selection, • Build and maintain partnerships with potential PIs for company clinical trials, • Conduct compliant scientific exchange to educate on company clinical trials, • Provide clinical trial liaison support to site investigators involved in sponsored studies including protocol support, screening barriers, and clinical trial recruitment and retention, • Collection of key medical insights from PIs to inform refinement of strategies, • Serve as a liaison to internal R&D functions to ensure the effective support of PIs, • Respond in a timely manner to unsolicited inquiries from external stakeholders and HCPs Building Company & Pipeline Advocacy • Through compliant scientific exchange, build and maintain professional relationships with external stakeholders to expand research, company advocacy, and educational partnerships, • Collect key strategic insights from top research KOLs and HCPs to support strategic initiatives, • Support execution of strategy through creation of national and regional congress plans for your assigned territories to attend and execute activities Qualifications • An advanced degree in life sciences (MD, PharmD or PhD or equivalent), • Has established scientific relationships and the ability to deliver effective presentations to HCPs, • Experience in clinical trial operations, design, site support and scientific engagement with clinical trial sites required., • General Ophthalmology or Anterior segment ophthalmology therapeutic area experience and/or Neurology, • At least 2 years of therapeutic, research or substantive patient care experience is required, • Frequent travel is required. Availability to travel up to 75% of time, • Availability to attend meetings on holidays and weekends, • Ability to travel internationally as needed with valid passport, • Clean and valid driver’s license

Associate Director – Global Market Access Strategy – Contract Full-time contract role Mid July – end of December 2026 UK Based contractors only Role Purpose Lead the development and implementation of global market access strategies for innovative pipeline and commercial assets across the product lifecycle, with a strong focus on integrating payer requirements into evidence generation and development planning from an early stage. Partner closely with cross-functional stakeholders across commercial, clinical development, regulatory, medical affairs, and evidence generation functions to ensure clinical development plans and target product profiles are aligned with global payer expectations and support successful pricing, reimbursement, and market access outcomes across key markets, with a particular focus on the US. Key Responsibilities • Develop forward-looking global market access strategies and value demonstration plans for innovative therapeutic assets, supporting both early-stage development and lifecycle management activities., • Provide strategic input into clinical development programmes, ensuring trial design, endpoint selection, comparator strategy, and evidence generation plans are aligned with payer and HTA requirements across major markets., • Contribute to the development of target product profiles, clinical development plans, and access evidence strategies to maximise future reimbursement and commercial success., • Partner with commercial and finance stakeholders to support business case development, scenario planning, pricing assumptions, and market access forecasting., • Serve as the market access representative within cross-functional asset teams, ensuring access considerations are incorporated into key development and commercialization decisions., • Support the evolution of market access excellence and best practices across the organisation., • Monitor changes in healthcare policy, reimbursement frameworks, HTA requirements, and payer evidence expectations, assessing implications for pipeline and commercial assets., • Develop value communication materials and strategic access plans to support internal decision-making and future stakeholder engagement. Technical Competencies • Strong understanding of global payer systems, reimbursement mechanisms, pricing frameworks, HTA processes, and healthcare policy trends, particularly within the US market., • Proven ability to incorporate market access considerations into clinical development and evidence-generation strategies., • Experience supporting innovative therapies and complex value propositions, with an understanding of evolving payer evidence requirements., • Expertise in market access strategy, pricing strategy, value communication, evidence planning, and access-focused product development., • Working knowledge of HEOR and Real-World Evidence, with the ability to translate evidence requirements into actionable development plans. Experience • Approximately 10+ years of experience within the pharmaceutical, biotechnology, or life sciences consulting sectors., • Significant experience in Global Market Access roles, ideally supporting assets from early clinical development through commercialization., • Demonstrated experience working with R&D, medical, regulatory, and commercial teams to shape evidence and access strategies., • Exposure to the US market and global market access environments is compulsory. Education • University degree in Pharmacy, Medicine, Economics, Health Sciences, Life Sciences, or a related discipline., • Advanced degree (MSc, MBA, MPH, PharmD, PhD, or equivalent) desirable., • Fluent English required. For more information, please contact Debbie Stanley - dstanley@barringtonjames.com

About Inworld Inworld is a research lab of top researchers and engineers, building the world’s top-ranked realtime voice models. Today our models are the #1 ranked realtime voice models in the world. They are used to power the largest consumer-facing AI applications available, across categories like health, fitness, learning, therapy, companions, customer experience and media; representing 100s of millions of end users. Our work spans areas like research and development of state-of-the-art models, optimizing realtime inference, and creating best-in-class APIs and products that allow developers to engage their users. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn’s Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

Location: UK Management College (UKMC) Contract type: Full-time, permanent (subject to probation) Salary: Competitive, commensurate with experience Closing date: Role Summary UKMC is seeking enthusiastic and creative Lecturers to join the BA (Hons) Events Management programme. This innovative course develops students into highly effective event managers and imaginative “experience architects,” blending project management skills with the creativity needed to deliver live experiences. As a Lecturer, you will contribute to the design, delivery, and assessment of modules across Levels 4–6, supervise student projects and placements, and actively support students in achieving their full potential. You will bring subject expertise in events and festivals, a passion for teaching and learning, and the ability to integrate industry practice into the curriculum. Key Activities & Responsibilities • Deliver high-quality teaching across a range of modules at undergraduate level, including lectures, seminars, workshops, and tutorials., • Contribute to curriculum design and development, embedding innovation, inclusivity, and sustainability into teaching practice., • Supervise students in live project work, client collaborations, placements, and dissertations., • Provide academic and pastoral support, supporting student engagement, progression, and attainment., • Contribute to assessment design, delivery, marking, and moderation in line with UKMC and validating partner requirements., • Engage with quality assurance and enhancement processes, including course monitoring, student feedback, and external examiner reporting., • Develop and maintain strong links with the events industry to support employability, placements, and guest contributions., • Engage in scholarship, professional practice, or research to inform teaching and maintain subject expertise., • Work collaboratively with colleagues and contribute to the wider academic community at UKMC. Person Specification Qualifications / Education Essential: • A postgraduate qualification (Master’s or above) in Events Management, Business, Tourism, Creative Industries, or a related subject. Desirable: • Fellowship of Advance HE (or willingness to achieve)., • A PhD or higher-level research qualification., • A teaching qualification (e.g. PG Cert in HE or equivalent). Knowledge & Skills Essential: • Strong subject knowledge of events and festivals, including creative practice, project management, and industry trends., • Ability to design and deliver engaging teaching and learning activities at undergraduate level., • Understanding of assessment practice and providing effective feedback., • Excellent communication and interpersonal skills., • Ability to motivate and support students from diverse backgrounds., • Competence in digital learning platforms and IT to enhance teaching. Desirable: • Professional networks relevant to the events and creative industries., • Engagement in research, scholarship, or professional practice that informs teaching. Experience Essential: • Experience of teaching and assessment in higher education (including as a teaching assistant, hourly paid lecturer, or equivalent role)., • Evidence of curriculum development or module design., • Experience supporting student learning and progression. Desirable: • Professional or industry experience in event management, festival production, or creative event design., • Experience contributing to quality assurance and enhancement processes in HE. Why Join UKMC? As a Lecturer in Events Management, you will be part of an ambitious and forward-looking institution that values teaching excellence, creativity, and student success. You will have the opportunity to shape a practice-led, industry-focused curriculum, inspire the next generation of event professionals, and contribute to the development of a course with strong links to industry and community stakeholders. UKMC offers a supportive environment with opportunities for academic development, research, and collaboration with validating university partners.

These include frontend and backend engineers, AI research scientists, and others from Amazon, Microsoft, and Google, leading PhD programs like Stanford, high growth startups like Stripe, Vercel, Bolt, and many founders of their own companies. Excellent software engineering fundamentals: OOP, design

At Bruker Biosensors we are committed to strengthening our customer relations team to promote our new innovative heliX® and SPR #64 ‘Triceratops’ biosensors and are seeking highly motivated individuals to join us as Technical Sales Managers. • people and science, • speaking with high-level scientists about their research activities to identify technical fits, • developing opportunities to implement our cutting-edge technology, • promoting a great technology with the capability to fight cancer and other diseases at the forefront of next-generation drug development, • advanced scientific instruments for high-end research challenges in academia and industry, • getting to know new people by attending conferences and trade shows, learning about their technical challenges, and engaging in scientific discussions, • explaining cutting edge technology in a comprehensible way by giving presentations and organizing seminars, • coordinating technology evaluation projects and managing the collaboration of scientists, • traveling and an international work environment, • being part of a dynamically growing team, • a friendly and outgoing personality with great team spirit and a natural sales talent, • excellent communication and presentation skills, plus a keenness to start conversation, • a background in biotechnology, biophysics, chemistry, molecular biology, pharmacology, or similar (BSc, MSc, or PhD degree), • the ability to manage several projects simultaneously and self-organized by using a structured, well-organized approach, • experience in one or some of the following areas is a plus: sales, biophysical methods for molecular interaction analysis (SPR or other), drug discovery, advanced laboratory equipment, • remote work position based within the assigned territory, • visit and stay connected with our office and application labs in Munich and Hamburg, Germany, • 50 % travel involves business trips to customers, collaboration partners and HQ in Munich, • a fun and dynamic work environment with a young, multicultural team, • scientific training in the biophysical analysis of molecular interactions, • training in the sales process of CapEx scientific equipment, • competitive compensation and the possibility for rapid career development alongside a growing team

At Nexperia Manchester we are expanding our Test Process Engineering Team with the addition of a Lead Manufacturing Test Engineer. In this role, you will drive wafer test quality, lead improvement projects, optimise processes and explore automation opportunities. This is your chance to make a direct impact on product quality within a fast-paced, global semiconductor manufacturer producing over 100 billion devices every year. What you will do As the Lead Engineer for Wafer Test, you will play a critical role in driving quality, stability and performance across the test area. Youll combine hands-on technical problem solving with people leadership, cross-functional collaboration and structured improvement activities. Your focus will be on ensuring wafer test processes consistently meet Production and Quality standards, while developing the team and driving long-term continuous improvement through systems such as Lean Six Sigma, Process and Step FMEA, and effective change control. This role gives you the opportunity to improve critical processes, explore automation solutions and lead high-impact projects where your work directly influences customer satisfaction. You will also Deliver improvement activities aligned with annual business KPIs Own corrective actions to reduce assembly centre referrals, customer complaints and process deviations Maintain accurate, current FMEAs across all relevant processes Support New Product Introduction, ensuring manufacturability and capability standards are met Collaborate closely with assembly centres and fab manufacturing teams to resolve cross-site issues and improve quality Manage area resources, including shift coverage, headcount planning and skills flexibility Coach, develop and upskill engineers and technicians, including conducting performance reviews and development planning What you will need Essential requirements: Degree level education in a relevant Engineering or STEM discipline (or equivalent experience) 6+ years of hands-on experience in process optimisation and quality management within a fast-paced manufacturing environment Proven track record of delivering improvement projects Experience leading Continuous Improvement (CI) activities, including strong statistical data analysis skills Ability to work a rotating 12-hour shift pattern, 7am-7pm 4 days on, 4 days off Desirable Experience: Knowledge of MOSFET device physics Understanding of parametric testing methodologies and familiarity with failure analysis techniques Experience with automated inspection solutions or automation in quality/inspection environments Familiarity with relevant industry standards, including IATF-16949 and ISO-9001 Experience with quality management systems (QMS) and associated quality tools Six Sigma greenbelt or equivalent competency for process improvement planning Clear understanding of lean manufacturing principles, such as: SPC, FMEA, Kaizen, Zero Defects, Total Quality Management (TQM) ,Total Productive/Process Management (TPM) The Interview process Stage 1: Recruiter review Stage 2: 30 mins Teams Interview Stage 3: 60 mins on site Interview What your benefits will include: A salary of £69,000 - £76,000 (DOE) plus bonus scheme of up to 6% 9% Employer pension contribution Subsidised canteen Income protection Visa and relocation support 12 x salary life assurance 24.5 days annual leave + 182 roster days off On-site medical centre Flexible benefits scheme Retail and Entertainment discounts Professional Development Opportunity to complete a leadership and management qualification, possibility for funded academic support up to PhD level, employee goal setting and development plans, huge growth potential both internally and globally within the business, in both management and technical pathways. Corporate Social Responsibility & Sustainability A global commitment to becoming carbon neutral by 2035, working with suppliers who embrace and comply with the Nexperia Supplier Code of Conduct, and paid time off for every employee to support charitable work up 4 times per year. Diversity, Equity, and Inclusion Corporate members of Neurodiversity in Business and a Disability Confident Employer. Dedicated Employee Resource Groups for Neuroinclusion, the LGBTQ+ community, and Women in Nexperia, with a commitment to increase women in management positions to 30% by 2030. Please note that for candidates based in Europe with a background in Semiconductor Manufacturing relocation and visa support can be offered. TPBN1_UKTJ

This role involves developing a research agenda, delivering high-quality instruction, and engaging with students and staff. The ideal candidate will have a PhD in Psychology, a strong commitment to teaching, and a track record of high-impact research. UNSW is seeking a Lecturer/Senior Lecturer in Ps

A prominent educational institution located in Manchester is seeking a Lecturer in Health, Wellbeing & Social Care for its partnership program. Candidates must hold a Master’s degree (PhD preferred) and have UK lecturing experience. The role involves teaching management-related modules, developing

UNSW is seeking an Associate Professor in Cybersecurity, tasked with driving innovative research and teaching excellence. The ideal candidate holds a PhD and possesses a strong background in cybersecurity and AI fields.

Responsibilities Support the editorial process for academic research journals in your domain of expertise Organise peer review process for submitted manuscripts and coordinate editorial decisions Handle email communication between the parties involved in the publication process Collaborate w

This prestigious role involves leading one of Australia’s largest research infrastructure platforms, enhancing service delivery, and fostering collaboration within the research sector. The ideal candidate will possess a PhD, strong leadership experience, and a proven track record in research fundi

Senior Fire Engineer — Manchester Most firms measure success by output. This one measures it by how much impact you’ve had on the Fire Industry. If that distinction means something to you then this could be the opportunity for you. Everything this company has built: the processes, the training infrastructure and technical reputation, has been funded by reinvesting profit back into the firm rather than extracting it as a deliberate philosophy. Their Manchester office is growing and they are looking for a senior engineer who wants to be part of shaping that, not just occupying a seat in it. The investment in you • Over £20k Per person, per year training investment, • 20% of working time dedicated to development, • 3 years structured development roadmap from day one, • In-house CPD programmes, free and accredited The training infrastructure here is unlike anything else in the sector. The firm has built its own proprietary CPD content with factory visits and live experiments, all IFE-accredited and made freely available. Engineers here help shape the Fire industry itself. Chartership is actively reviewed and mentored by Engineers that sit on chartership panels professionally. If you are working towards IFE registration, this is the environment for that progress to accelerate. The Role This firm doesn’t just deliver PAS 9980 assessments and move on. The technical scope here runs from residential fire safety engineering and external wall assessment through to nuclear energy facilities, expert witness work for litigation, and performance-based fire engineering for complex structures that many major consultancies are simply not able to take on. The external wall and remediation work sits ahead of current legislation, anticipating where the regulatory framework is heading and positioning clients in front of it. Requiring engineers that genuinely understand fire science. What They're Looking For At least five years of fire engineering experience, with a BSc, MSc or PhD in an engineering or science subject. Registration with the IFE is preferred, or active progress towards it. The firm also considers engineers from adjacent technical backgrounds where the underlying science is strong, such as a prior degree in chemistry, mechanical or structural engineering, physics because the right thinking is more important than a specific title. Experience across fire safety strategy, performance-based design, fire and evacuation modelling, and the ability to manage and develop other engineers. You should be comfortable working with both technical and non-technical stakeholders and willing to travel for site visits and client work. The salary conversation is honest and straightforward, this is not a firm that plays games with offers. If you could be interested or want to find out more, Alex will be happy to have a confidential conversation with CV required. Please Apply here or reach out to Alex at 1st Select