Science related jobs in Reino Unido

Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field.

Advanced degree (MS or PhD) in Data Science, Computer Science, Biostatistics, or related field.

Senior Developer (Node/React) Are you a pragmatic, innovative, and self-motivated problem solver with a passion for building scalable, high-performing software? We're looking for a Senior Full Stack Engineer, with strong skills in Node and React, to join a high-performing product team working on a global, high-traffic eCommerce platform handling thousands of transactions daily. You'll play a key role in designing and developing end-to-end solutions, collaborating closely with both technical and business teams to deliver new features that drive growth and enhance the customer experience. What You'll Do • Build and maintain robust, scalable applications across the full stack (Node/React/TypeScript), • Collaborate in an agile team environment to deliver clean, maintainable, and testable code, • Influence architectural decisions and technology choices, • Optimise Front End and Back End performance to ensure fast, seamless user experiences, • Proven experience as a Full Stack Engineer or similar role, • Expertise in React, JavaScript/TypeScript, HTML, CSS, and responsive design principles, • Strong understanding of Back End technologies and best practices, • Passion for writing clean, well-tested code, • Experience with cloud platforms (AWS, Azure, or GCP), • Excellent communication skills and the ability to explain technical ideas clearly, • A mindset focused on scalability, maintainability, and continuous learning, • Degree in Computer Science or a related field, • Experience in eCommerce sectors, • Work on a product with global reach and real-world impact, • Have a voice in how things are built - your ideas matter, • Collaborative, forward-thinking engineering culture Salary: £80k/per annum

Senior Mapping Engineer (Large-Scale HD Mapping) — First Key Hire Circa £80k+, London based Want to work for an advanced start up building real-world autonomous systems? We’re looking for a highly skilled Senior Mapping Engineer to become the first dedicated mapping lead. This is a high-ownership role where you’ll take charge of the high-accuracy, large-scale mapping capability, set the technical roadmap, and grow and mentor a mapping team as deployments scale. You’ll maintain and evolve an existing mapping codebase, enhancing accuracy, stability, and scalability across challenging industrial and autonomous environments. Working closely with perception, localization, and navigation, you’ll ensure themaps are drift-free, up-to-date, and deeply integrated into the autonomy stack—from raw sensor data to validated, deployed map products. What you’ll do • Own and advance scalable LiDAR- and vision-based mapping pipelines., • Build and improve 2D/3D representations: occupancy grids, vector/HD maps, semantic layers, environment models., • Lead multi-sensor fusion (LiDAR, cameras, radar, GNSS/INS, odometry) into coherent, consistent map outputs., • Deliver large-scale capabilities like multi-session mapping, fleet workflows, map versioning, delta updates, and distributed map generation., • Maintain tight integration with SLAM/Localization to ensure stable, drift-free deployment performance., • Define KPIs and validation frameworks for map accuracy, completeness, and consistency., • Translate state-of-the-art research (SLAM, semantic mapping, multi-modal reconstruction) into production systems., • Set best practices and technical standards to support future team growth. Experience required • MSc/PhD in Robotics, Computer Vision, Computer Science, or related field., • 4–5+ years hands-on mapping experience in autonomous systems or robotics., • Deep expertise in LiDAR/point-cloud processing (PCL, Open3D, custom pipelines)., • Strong background in vision-based mapping / visual SLAM and multi-sensor fusion., • Proficiency in C++ with strong experience in ROS2., • Solid grounding in estimation, optimization, geometry, kinematics, and TF2. Why join You’ll own a mission-critical autonomy capability, shape the map product and technical direction, work on live deployments, and step into a clear path to build and lead your own mapping team.

You will be training to be a Science Teacher at Ark Academy - this is a great opportunity to train to teach outstanding lessons and therefore help pupils achieve excellent academic results in Science. Ark Academy, Trainee Science Teacher. A degree or A level in a Science / a related subject&nbs

We are searching for Senior Rust specialists to join one of our well established and highly regarded Digital Assets focused trading firms, either in London or for relocation to Hong Kong with a comprehensive package. You'll be working on their peripheral applications, building improvements and features for their 24/7 trading systems with Rust and .Net / C#. Responsibilities • Build, improve and maintain peripheral applications and user interfaces with the latest iterations of Rust and .Net., • Work in a highly collaborative, multidisciplinary environment., • Provide production support., • Mentor and guide junior engineers. Requirements • 6-8 years of related experience, familiar in Linux environment;, • University degree in Computer Science, Software Engineering, or related disciplines, • You write clean and efficient code in Rust, • You demonstrate strong interest in financial markets and blockchain technologies, • You own your deliverables, reliability, scalability, and maintainability, • You love to analyse and tackle complex problems with elegant solutions, • You have exposure in multithreading, web protocol (e.g. websocket, RESTful), or high throughput/low latency design is a plus, • You have experience in mentoring and guiding team members

MUST BE BASED IN THE UK TO BE ELIGIBLE. Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Role Overview The Director of Global Congress Strategy in the Global Scientific Communications organization is responsible for driving annual congress planning within a specific therapeutic area of Respiratory. This strategic role is pivotal in developing TA-level congress plans, sponsorship decisions, and scientific narratives to enable the effective execution of all congress-related deliverables. The role ensures all narratives and plans are aligned within the asset and across the TA, partnering closely with Medical and Commercial teams for delivery Key Responsibilities • Lead the annual congress planning process for the assigned therapeutic area, ensuring alignment with the overall medical and commercial strategy., • Develop and drive TA-level congress plans and decision-making, including sponsorship decisions and the creation of scientific narratives., • Ensure all congress narratives and plans are aligned within the asset and across the TA, partnering closely with Medical and Commercial teams to deliver cohesive and strategic congress outcomes., • Establish and maintain collaborative relationships with external vendors and internal stakeholders to ensure delivery of congress plans on strategy., • Provide strategic insights into the appropriate content needed to articulate the narrative within the context of broader medical and commercial strategies., • Deliver medical leadership and consistent excellence in congressing through society relationship management and partnership with local markets and cross-functional partners., • Evaluate and shape congress key performance indicators (KPIs) and share insights with teams to continually refine approaches, priorities, and investments., • Ensure adherence to all relevant codes and system requirements (e.g., ABPI code of practice, GSK Code), particularly with respect to the communication of promotional versus non-promotional information., • Gather and share best practices across global congresses to ensure consistency, high standards, and excellence are maintained across the organiSation., • Stay updated on advancements in congressing to ensure approaches evolve with the external landscape. Requirements • Degree in science, medicine, pharmacy, or a related field., • 7+ years of related experience in scientific communications and/or congress planning and execution, with extensive knowledge of the pharmaceutical congress industry, codes, and practices., • Experience working with Medical and Commercial teams to deliver aligned and impactful outcomes., • Experience developing and implementing strategic plans and narratives, including innovative technology tools to articulate scientific narratives., • Experience cultivating relationships with external stakeholders including physicians, payers, and patients within the specific TA., • Experience working effectively with external vendors and internal stakeholders through excellent communication and relationship-building skills., • Strong analytical skills and the ability to share insights to shape strategic approaches and investments., • Strong project management skills over multiple projects simultaneously, meeting deadlines., • Experience interpreting, analysing, organising, and presenting complex data to a broad range of audiences. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting ___ site.

MUST BE BASED IN THE UK TO BE ELIGIBLE. Are you an experienced QA professional seeking new and exciting opportunities? While we may not have an immediate vacancy, we’re always on the lookout for talented individuals to join our QA Talent Pool. Who We Are GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. What We’re Looking For We want to connect with QA professionals who demonstrate expertise in a broad range of core skills and experience, including but not limited to: • A degree or equivalent qualification in Chemistry, Life Sciences, Engineering, or a related technical discipline., • Alternatively, relevant industry experience in a regulated environment such as pharmaceuticals, biotechnology, or manufacturing., • Experience working in GMP/GLP-compliant environments, with a strong understanding of regulatory standards., • Familiarity with analytical techniques and equipment used in pharmaceutical testing., • Strong attention to detail and a methodical approach to problem-solving., • Excellent communication and interpersonal skills, with the ability to build trust and collaborate across teams., • Comfortable working in fast-paced, dynamic environments with competing priorities., • Computer literacy, including proficiency in Microsoft Office and site-specific systems., • A team-oriented mindset, with flexibility and a proactive attitude toward continuous improvement., • Demonstrated ability to apply GMP knowledge in decision-making and process improvement. What You Might Be Doing As a QA professional at GSK, you could get involved with: • Reviewing and approving quality control data to support the timely release of pharmaceutical products., • Authoring and managing GMP documentation, including SOPs, protocols, and reports., • Supporting inspections and audits, ensuring readiness and compliance with regulatory standards., • Participating in quality events such as deviations, investigations, and change controls., • Providing coaching and guidance to improve performance and drive continuous improvement., • Conducting document control activities, including printing, reconciliation, and archiving., • Collaborating with cross-functional teams to resolve quality issues and enhance processes., • Leading or supporting analytical testing, including techniques like HPLC, Karl Fischer, and dissolution testing., • Maintaining and calibrating analytical equipment, ensuring accuracy and reliability., • Investigating Out-of-Specification (OOS) results and contributing to root cause analysis., • Reviewing manufacturing and packaging documentation for clinical and commercial batches., • Assessing temperature excursions and managing customer complaints in line with quality procedures. Why Join Our Talent Pool? • Be the first to hear about new QA roles as soon as they go live., • Gain access to exclusive insights about GSK’s roles, projects and company culture., • Receive updates on training, development opportunities, and industry trends. How to Join If you’re passionate about quality assurance and ready to explore future career opportunities with GSK, please submit your details using the application form below. We’ll keep your details on file and reach out as soon as roles become available. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

About Us DaVita UK delivers life-saving kidney care to over 2,000 patients across England & Wales. DaVita UK is one of the 14 countries which form DaVita International focusing on transforming care and improving quality of life for people receiving dialysis treatment globally. When you join the DaVita Village, you're joining a winning team with Community First, Company Second culture. We are proud to be an independent, nurse-led provider, working in partnership with the NHS to deliver the highest standards of care using cutting-edge technology in welcoming, modern environments. Role Overview The Systems & Application Support Specialist is responsible for delivering high-quality first and second-line support across DaVita UK, with a strong focus on the organisation’s clinical and healthcare applications alongside standard business applications and core IT infrastructure. This role supports end users with technical issues, application troubleshooting, onboarding/outboarding processes, and ongoing improvements to system performance and reliability. The Specialist will work closely with the IT Manager and an external IT support partner to ensure seamless support operations, effective ticket handling, and alignment with enterprise IT standards. A key aspect of the role is the management and optimisation of DaVita UK’s application stack, including EMR platforms, healthcare-specific tools, SSO integrations, and associated workflows. The Specialist will also contribute to IT projects, cybersecurity initiatives, and continuous improvement activities across the organisation. Key Responsibilities End-User Support • Provide first and second-line support for all internal users across hardware, software, EMR platforms, and healthcare applications., • Monitor, triage, and coordinate support tickets with the external IT partner to ensure timely resolution in line with SLAs., • Escalate issues as needed to minimise operational disruption and maintain business continuity., • Deliver a high standard of customer service across all interactions. Application & System Support • Provide technical support for EMR systems, clinical applications, and business software., • Troubleshoot application issues, identify root causes, and implement corrective measures., • Perform routine maintenance, updates, and configurations across systems and applications., • Monitor system performance and proactively address emerging issues. User Onboarding, Offboarding & Induction • Manage user account creation, modification, and deactivation across systems, applications, and SSO environments., • Prepare and configure user devices, application access, and network permissions., • Conduct IT inductions for new employees, ensuring understanding of essential tools and security protocols., • Complete exit procedures ensuring secure access removal and compliance with data policies. IT Training & User Enablement • Deliver basic IT training to improve user independence with applications and systems., • Provide one-to-one or group training sessions for new systems or software rollouts., • Create user guides or reference materials where required. Collaboration with IT Manager & External IT Partner • Align support priorities, processes, and improvement initiatives with the IT Manager., • Serve as the primary contact for escalations and application-related inquiries with the external IT provider., • Assist in implementing new technologies, ensuring alignment with security, compliance, and operational standards. Participation in IT & Application Projects • Support the planning, execution, and delivery of IT and application-related projects, including EMR enhancements, integrations, and migrations., • Assist with evaluating new technologies, application solutions, or feature updates., • Work cross-functionally to ensure project outcomes meet organisational needs. Data Privacy, Security & Continuous Improvement • Maintain and enforce data protection, security practices, and access controls across all systems., • Participate in security audits, assessments, and improvement initiatives., • Support backup, recovery, and business continuity processes., • Help refine IT processes and documentation to drive efficiency and consistency. Cybersecurity & Compliance • Support cybersecurity initiatives, especially those relating to application access, SSO, MFA, and EMR data protection., • Assist with maintaining Cyber Essentials certification., • Coordinate with internal and external partners on vulnerability remediation and penetration testing activities. Alignment with Enterprise Standards • Ensure all systems, applications, and support activities align with DaVita corporate IT policies and standards., • Collaborate with global teams to implement enterprise-wide updates, security measures, and application integrations. Inventory & Asset Management • Maintain accurate records of IT assets, including hardware, software licenses, and application accounts., • Support procurement processes for new hardware, software, or subscriptions. Required Qualifications • Bachelor’s degree in Information Technology, Computer Science, or equivalent professional experience., • 4+ years’ experience in IT support or application support roles., • Experience supporting EMR systems or healthcare-related applications., • Proficiency in Windows, MacOS, and common enterprise software environments., • Understanding of networking fundamentals (TCP/IP, VLANs, Wi-Fi, firewalls)., • Experience with SSO technologies (e.g., Azure AD, Okta, ADFS)., • Strong analytical and troubleshooting skills., • Excellent communication skills for supporting users and collaborating with vendors., • Familiarity with user access management, onboarding and offboarding processes. Preferred Skills • Prior experience supporting clinical or healthcare information systems, including Electronic Medical Records (EMR/EHR) platforms., • Knowledge of cloud services (Azure, AWS)., • Certifications such as CompTIA A+, Network+, Microsoft Certified: Azure Administrator Associate., • Experience working with external IT service providers., • Knowledge of Cyber Essentials frameworks and penetration testing processes. Personal Attributes • Strong customer service mindset and empathetic communication style., • Highly organised with strong time management skills., • Proactive problem solver able to anticipate and address issues early., • Commitment to data privacy, security, and compliance., • Ability to work independently and collaboratively with team members and partners., • Adaptable, resourceful, and eager to support continuous improvement. What can you expect when you join? • Competitive Salary, • Company Pension Scheme, • 35 days' paid leave per annum, including bank holidays, • Life Assurance to 3 times annual salary, • Retail discount scheme membership, • Free onsite parking, • A commitment to your training and development, • A "community first, company second" culture based on Core Values that really matter, • An exciting, collaborative and driven multinational environment, • Live our mission: To be the Provider, Partner, and Employer of Choice, • Dedication, above all, to caring for our patients and teammates

MUST BE BASED IN THE UK TO BE ELIGIBLE. Overview GSK is a science-led global healthcare company with a special purpose: to help people do more, feel better, live longer. We are on an audacious journey to impact the health of 2.5 billion people over the next decade. Our R&D division is at the forefront of this mission, dedicated to the discovery and development of groundbreaking vaccines and medicines. We are transforming the landscape of medical research by integrating cutting-edge science and technology and harnessing the power of genetics and new data. By fostering a collaborative environment that unites the talents of our people, we are revolutionizing R&D to pre-empt and defeat diseases. Join us in our commitment to uniting science, technology, and talent to get ahead of disease together. Job Purpose The Medical Affairs Capability Manager is responsible for designing, implementing, and delivering capability‑building programs for Medical Affairs teams across global, regional, and local levels. This role works closely with Capability Directors and key stakeholders to understand capability gaps and develop relevant, meaningful learning initiatives. These programs are embedded into everyday ways of working to enhance employee skills, improve performance, and ultimately support better outcomes for patients. Key Responsibilities • Lead the implementation of Medical Affairs capability initiatives, ensuring quality, consistency, and timely delivery, • Partner with Capability Directors to identify capability needs and support program design, delivery, measurement, and sustainability, with a strong focus on:External engagement excellence, • Evidence generation, • Manage stakeholders effectively to ensure smooth deployment of capability programs across regions, • Contribute the Medical Affairs perspective into broader company‑wide capability programs to ensure relevance and impact, • Stay informed on future trends, innovation, and digital advances and incorporate them into learning programs to enhance engagement and effectiveness, • Manage external vendors and partners to ensure:High‑quality deliverables, • Consistent global standards, • Efficient use of budgets (e.g., MSL Leader Coaching, external engagement programs), • Lead the development and ongoing maintenance of internal capability resource platforms, ensuring content remains current and relevant, • Track and manage program budgets in partnership with Capability Directors, identifying risks and opportunities, • Drive continuous improvement by evaluating program impact and making enhancements to accelerate upskilling and performance improvement, • Build and maintain a network of subject matter experts (SMEs) to support program design at both global and local levels, • Monitor the evolving healthcare and external environment and assess its impact on Medical Affairs capability needs Basic Qualifications • Minimum 5 years of experience in the pharmaceutical industry, • At least 3 years of experience in project management or a similar operational role, • Strong understanding of regulatory and compliance standards related to promotion and scientific engagement (e.g., IMC), • Excellent communication skills (written, verbal, and presentation), • Ability to present confidently to senior leaders and cross‑functional stakeholders, • Strong strategic thinking and problem‑solving capabilities, • Ability to manage multiple priorities and stakeholders across regions, • Experience working on transformational or change initiatives aligned to organizational strategy, • Proven ability to work across different time zones and cultures Preferred Qualifications • MBA or equivalent advanced degree, • Strong understanding of Medical Affairs functions and activities, • Experience leading capability‑building or organizational change initiatives, • Ability to build relationships based on trust, collaboration, and mutual respect Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together. Inclusion at GSK GSK is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class. If you need any adjustments in the recruitment process, please get in touch with our Recruitment team () to further discuss this today. Important notice to employment businesses/agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are aUS Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK’s compliance to all federal and state US Transparency requirements. For more information, please visit GSK’s Transparency Reporting For the Record site.

About Us We are a VC-backed startup focused on hyper-personalisation, currently in stealth. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging customer experiences for in-store retail. Our mission is to change retail forever through hyper-personalised experiences that are both simple and beautiful. About the Job – Machine Learning Engineer We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. You will be responsible for building robust, scalable ML systems that bring our foundation models for retail from prototype to production. Key Responsibilities • Design and build production-grade ML infrastructure, including training pipelines, model serving, and monitoring systems., • Collaborate with research engineers to translate experimental models into reliable, maintainable software., • Optimise ML systems for performance, scalability, and cost-efficiency in cloud environments (distributed clusters, GPUs)., • Month 1: Onboard to existing ML codebase and infrastructure; identify technical debt and reliability gaps; ship incremental improvements to model serving latency or pipeline robustness., • Month 3: Own and deliver a major infrastructure component (e.g., feature store, training orchestration, or model registry); improve system observability with logging, metrics, and alerting., • 3–5+ years building and maintaining ML systems in production environments, • BSc or MSc in Computer Science, Software Engineering, or a related field, • Strong software engineering skills: clean code, testing, debugging, version control, and system design, • Proficiency in Python with experience in ML frameworks (PyTorch, TensorFlow, or JAX), • Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerisation (Docker, Kubernetes), • Experience with MLOps tooling (MLflow, Kubeflow, Weights & Biases, or similar), • Building data pipelines (real-time or batch) using tools like Apache Spark, Kafka, Airflow, or dbt, • Familiarity with recommender systems, transformers, or graph neural networks, • Opportunity to build technology that will transform millions of shopping experiences., • Real ownership and impact in shaping product and company direction., • A dynamic, collaborative work environment with cutting-edge ML challenges., • Competitive compensation and equity in a rapidly growing company.

Job Family: Strategy & Transformation Consulting Find out exactly what skills, experience, and qualifications you will need to succeed in this role before applying below. Travel Required: Up to 25% Clearance Required: None Is life sciences in your DNA? Breakthroughs in pharma are helping people live healthier lives, while medical devices enable patients to proactively maintain health – this is undoubtedly a transformative time for health care companies. Guidehouse’s Life Sciences practice is an engine of innovation, helping pharmaceutical, biotech, and diagnostics companies develop custom solutions that tackle today’s challenges while anticipating tomorrow’s. You will have an immediate impact by partnering with our clients, across all levels, to deliver product planning, pricing, reimbursement, product commercialization, and regulatory and compliance solutions. Do you think you are up for the challenge? We develop our people through challenging work, valuable learning and educational programs. We cultivate a culture of mentorship and feedback for professional and personal growth. We help our clients take control of their future. This mission extends to our employee's careers, health and well-being and by the many ways we give back to our communities. If you’re passionately motivated to make a difference and deliver exceptional work, we invite you to learn more about your career opportunities at You Will Do: In this role you will be accountable for growing and managing client relationships while managing client expectations. You will become the client’s trusted advisor that contributes to the “key client” business development strategy. You will be accountable to develop business with new buyers within key clients, drawing upon industry and client connections as well as trends and Guidehouse solutions. As you sell and deliver great work you will also identify and evaluate issues of risk for both Guidehouse and for Guidehouse’s relationship with the client. You will oversee multiple projects simultaneously of all varying sizes and durations to ensure quality control and key client’s perceived value while supervising, mentoring and developing Guidehouse personnel. You will also be involved in non- client related firm- building activities as a leader in the firm. What You Will Need: * BA/BS degree in Science, Biomedical Engineering, Healthcare, Business or related course of study. * 10 (TEN) + years of Life Sciences (Pharmaceutical, Biotech, Specialty Pharma and/or Medical Technology) consulting experience or blend of consulting & industry experience. * 5 (FIVE) + years commercialization and launch experience. * Ability to work independently but with oversight from management. Experience in managing components of projects, ownership of workstreams and/or analytics and supervising, coaching or mentoring others in daily tasks is required. * Must possess strong analytical skills (Excel, Access, etc.) and leverage analytic techniques to use data to guide client and team decision-making. * Must have advanced data collection, research, information finding experience and explore solutions that challenge critical thinking. * Proven track record generating revenues with existing clients demonstrating a passion for developing high value client relationships and executing on a account penetration strategy that results in account growth directly or indirectly * Experience managing projects to timeline, scope and budget on multiple teams simultaneously. * Right to Work in the UK e.g. UK Passport, Ireland Passport (Common Travel Area Agreement), Indefinite Leave to Remain, EU Settled Status. * Must be willing and able to travel to client sites in the UK and internationally. What Would Be Nice To Have: * MBA / PhD / PharmD / MD or other advanced degree. * Demonstrated commitment and passion for the Healthcare and Life Science industries. * Excellent written and oral communication skills and ability to produce client ready deliverables including PowerPoint presentations. * Ability to grasp and communicate clinical and business implications of technically complex products and services. * Excellent attention to detail and ability to review work product of self and others and produce work product and deliverables that require minimal re-work or editing. * Collaborative and a team player. What We Offer: Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. About Guidehouse Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @ or Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. xwzovoh Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

Junior Quant Developer – Multi-Strategy Systematic Trading Location - London (or NYC) A leading investment firm specialising in multi-strategy systematic trading is seeking a Junior Quant Developer to join its front-office execution team in London. The firm integrates diverse strategies across asset classes to capitalise on market opportunities. As a Junior Quant Developer (0–4 years of experience), you will: • Develop and enhance high-performance trading systems., • Optimise execution algorithms for systematic trading., • Contribute to research and simulation frameworks. Key Requirements • Bachelor's degree in Computer Science or closely related field, • Interesting internship(s) within trading, • Proficiency in C++ or Python (the firm’s tech stack includes both)., • Strong problem-solving and analytical skills., • Ability to work in a fast-paced, collaborative environment. This opportunity offers a competitive compensation package and hybrid working model.

Mid-Level Full Stack Engineer | Audio Intelligence IoT Scale-up | Well Funded - Tech-for-good | TypeScript/Next.js/Node.js | £50K - £65K + Equity | Hybrid 3 Days LDN with Work From Anywhere Benefits Company I am looking for a Mid-Level Full Stack Engineer who wants to be part of an innovative start-up company who are leading from the front in AI Audio Intelligence. They are on a mission to transform how people experience audio across all digital platforms from video calls to broadcasting, podcasts to mission-critical communications. Their technology removes background noise, enhances speech, and delivers crystal-clear audio, helping professionals, creators, and AI systems communicate more effectively. Role You'll join a talented team of like-minded engineers working on their core products and customer facing dashboards to deliver ground-breaking audio algorithms to their clients. • Design, develop, and maintain scalable back-end services using Node.js and related frameworks., • Build and consume APIs, integrate with databases, and manage server-side logic., • Work alongside front-end engineers to implement end-to-end features for dashboards and customer-facing tools., • Contribute to architecture discussions, suggest improvements, and help optimize system performance., • Write clean, testable, and maintainable code., • Collaborate in an agile environment, participating in sprint planning, code reviews, and team knowledge-sharing sessions. Tech Stack • TypeScript, • Next.js, • Node.js, • GCP, • AWS (ML), • CI/CD with GitHub actions and workflows, • SQL (PostgreSQL, MySQL), • NoSQL (MongoDB, Firestore, Redis), • RESTful APIs - GraphQL Requirements for Mid-Level Full Stack Engineer | Audio Intelligence IoT Scale-up | Well Funded - Tech-for-good | TypeScript/Next.js/Node.js | £50K - £65K + Equity | Hybrid 3 Days LDN with Work From Anywhere Benefits • 1 to 4 years of professional software development experience, preferably in a fast-paced or start-up environment., • Good experience in back-end development with Node.js or a similar runtime., • Relational & non-relational database experience (PostgreSQL/NoSQL), • Familiarity with front-end frameworks like React.js, • Experience with Docker, REST APIs, and cloud services (AWS, GCP, or Azure)., • A pragmatic problem solver who can balance delivering features with maintaining code quality., • Strong communication skills and ability to collaborate across teams., • Computer Science / Mathematics degrees from good universities Nice to haves; • Python experience., • GCP experience., • Experience with AI/ML-powered applications., • Exposure to real-time data processing., • Knowledge of CI/CD pipelines and automated testing. Remuneration & Benefits • £50K - £65k + Equity (once probation is passed), • 40 days holiday per year (Christmas off), • Hybrid in London - 3 days per week (Mon/Tues/Thurs) If you want to hear more about the Mid-Level Full Stack Engineer | Audio Intelligence IoT Scale-up | Well Funded - Tech-for-good | TypeScript/Next.js/Node.js | £50K - £65K + Equity | Hybrid 3 Days LDN with Work From Anywhere Benefits please apply ASAP with a CV and we will give you a call if we think you are a match! 😊

numi are proud to have exclusively partnered with a prominent player working with a global leaders in high quality services. What you'll be doing: We are seeking a brilliant .Net Engineer to help create amazing experiences for their clients and their customers through their best in industry SaaS platform. You will be involved in challenging, complex development for industry leading companies, as well as smaller start up projects Centered on a tech stack that includes C# .NET, React AWS, and event-driven microservices, this position is tailored for engineers ready to thrive in modern cloud-based ecosystems. As an Engineer you will design scalable systems, write maintainable and testable code, and ensure the resilience of solutions to deliver exceptional service. Staying current with emerging technologies, you will champion advancements, inspire innovation, and mentor junior engineers to cultivate a culture of growth and excellence. Ideal candidates hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. A .NET, C# and backend or full-stack development is essential, complemented by strong problem-solving skills, an agile mindset, and excellent communication. What You'll Get: • Competitive salary and benefits package., • Hybrid working options and support for professional development., • Join a dynamic, forward-thinking team in central London (1 day a week).

Senior C# Engineer City of London (On-site) Permanent | £90,000 – £120,000 We’re partnered with an innovative proprietary trading firm in the City of London that is hiring a Senior C# Software Engineer. You’ll work on greenfield projects, cutting-edge technology, and play a key part in shaping systems that directly influence trading performance. Key Benefits • Competitive salary with a strong benefits package, • Work on greenfield projects where your ideas genuinely shape the outcome, • Exposure to the latest .NET technologies in a high-performance trading environment, • Clear opportunities for career growth and progression, • Collaborative, non-corporate culture where innovation and creativity are encouraged, • Great work-life balance supported by wellness perks, healthcare, and team socials Key Requirements • Strong background in C# and the .NET platform (working with the latest versions), • Database knowledge (SQL Server, Oracle, or equivalent), • Degree in Computer Science or related subject, • Fluent in English with excellent communication skills, • Detail-oriented, with a drive to deliver high-quality solutions Key Responsibilities • Develop and maintain high-performance trading applications in a C#/.NET/SQL Server environment, • Take ownership of new, greenfield projects, influencing design and implementation from the start, • Collaborate with a talented team of engineers and researchers in a supportive environment, • Continuously innovate and improve tools, processes, and systems, • Deliver solutions that directly contribute to trading success and business growth To apply, please use the link provided or reach out directly to arrange a confidential conversation:

Job Title: AI Researcher Location: Cambridge or London, UK This is a permanent position with candidates required to do hybrid working in either Cambridge or London. Our client are looking for AI Researchers specialising in Reinforcement Learning with Human Feedback (RLHF) and Generative AI. In this role, you will design and optimise the algorithms that align large-scale generative models with human preferences, ensuring they are safe, controllable, and capable of producing high-quality outputs across multiple modalities. You’ll sit at the intersection of RL, LLMs, and generative modelling, helping us build the next generation of foundation models Responsibilities: Develop and refine RLHF algorithms for large language and generative models. Research and implement deep reinforcement learning methods (policy gradients, actor-critic, off-policy learning) for model alignment. Train, fine-tune, and evaluate LLMs and diffusion models at scale. Design experiments to align generative outputs with human and organisational preferences. Collaborate with researchers, engineers, and human feedback teams to build scalable alignment pipelines. Publish findings in top-tier AI conferences and contribute to open-source frameworks. Key Requirements: PhD in Computer Science, Machine Learning, or related field. Publications at NeurIPS, ICML, ICLR, ACL, or related venues. Deep expertise in Reinforcement Learning (policy optimisation, reward modelling, RLHF). Hands-on experience training/fine-tuning generative models (LLMs, diffusion, transformers, GANs). Strong knowledge of deep learning frameworks (PyTorch, JAX, TensorFlow). Proficiency in Python and standard ML libraries. Solid foundations in probability, optimisation, and statistics. Experience working with large-scale distributed training on GPUs/TPUs. If this sounds of interest, please reach out to

ML Platform Engineering Manager – AI Infrastructure 📍 Central London (3 days on-site) | 🕒 Full-time We’re an AI-first technology company building tools that help people and brands create beautiful visual content at scale. Our products are powered by cutting-edge machine learning and used by millions worldwide—and we’re just getting started. We’re now looking for an ML Platform Engineering Manager to lead the team responsible for the infrastructure behind our AI models. This is a hands-on leadership role at the intersection of engineering, research, and product—perfect for someone who loves solving complex systems problems and bringing AI from prototype to production. What You’ll Do • Lead and mentor a team of backend engineers focused on ML and AI infrastructure, • Partner closely with ML researchers to create, model prototypes, • Design and build scalable, reliable systems to serve AI models in real time, • Own architectural decisions across model serving, performance, and reliability, • Foster a strong engineering culture through coaching, feedback, and support, • Ensure our platforms are intuitive for developers and performant for users What We’re Looking For • 6+ years of backend or platform engineering experience, • 1–3 years of people management or technical leadership experience, • Strong background in designing and scaling distributed systems, • Solid experience with cloud platforms, APIs, and observability/monitoring, • Proven ability to lead projects from concept through production, • Excellent communication and collaboration skills, • Exposure to (or strong interest in) ML model serving, GPUs, or AI infrastructure is a plus, • A degree in Computer Science or a related field is helpful, but not essential Why Join Us? • Work at the forefront of applied AI, • Build products used by millions around the world, • Join a smart, friendly, and fast-moving team, • Hybrid working: 3 days a week in our Central London office, • Collaborate with talented teammates across multiple countries

Autonomy & Geospatial Systems Integration Engineer Location: London, UK or Linköping, Sweden Industry: Aerospace / Defence / ISR / UAV Systems Employment Type: Full Time Overview: A leading innovator in spatial intelligence and mission-critical technology is seeking a Software Integration Engineer to join its Mission Systems team. The organisation builds advanced geospatial, AI-powered, and ISR solutions that integrate into platforms such as UAVs, edge computing systems, and defence environments. This is a hands-on, customer-facing engineering role for someone who enjoys solving complex integration challenges, working with cutting-edge sensor data, and enabling real-world impact in mission environments. You will work at the intersection of software, embedded systems, payload integration, and customer operations, supporting the deployment of next-generation spatial intelligence tools into UAV and ISR ecosystems. Key Responsibilities: • Serve as the technical lead for solution integrations involving satellite imagery, full motion video, and related sensor data into UAV visual positioning, odometry, and navigation systems., • Collaborate with UAV OEMs, defence integrators, and mission customers to support system demonstrations, prototyping, and field testing., • Conduct bench and field integration activities, including configuration of companion computers (e.g., NVIDIA Jetson, Raspberry Pi), autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and navigation data., • Assess integration feasibility, including SWaP considerations and solution design, ensuring successful deployment in demanding environments., • Develop integration procedures, test plans, troubleshooting documentation, and technical guides., • Provide feedback to internal engineering teams to enhance product performance, usability, and reliability under operational conditions., • Contribute to technical materials for RFP/RFI responses and solution proposals., • Collaborate with internal product, engineering, and field teams to define interfaces, data flows, and integration paths between software products and OEM systems., • Support the technical articulation and positioning of capabilities to high-value customers. Minimum Qualifications: • Bachelor’s degree in a STEM field (Aerospace, Computer Science, Electrical/Mechanical Engineering, Mathematics) or equivalent practical experience., • Experience supporting ISR, UAS, aerospace, or defence system integrations., • Strong proficiency in Python and C++ for integration, SDK adaptation, and prototype development., • Experience with ISR-relevant imagery/video formats: GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, MISB., • Understanding of 3D terrain formats (DEM/DTED, 3D Tiles) and coordinate systems such as WGS84, UTM., • Familiarity with frameworks/tools such as OpenCV, PyTorch, GDAL, Cesium, Unity., • Practical knowledge of embedded Linux systems (Jetson, Raspberry Pi, NXP)., • Demonstrated ability to work cross-functionally across product, engineering, and field teams., • Ability to travel domestically or internationally (approx. 25%, occasionally up to 50%). Preferred Qualifications: • Master’s degree in Engineering, Computer Vision, Software Engineering, or related field., • Experience with embedded Linux tools/configurations: systemd, Yocto, Docker., • Knowledge of GNSS/INS, video odometry, or visual-inertial fusion systems., • Experience with UAV systems, including configuration, tuning, and troubleshooting with autopilot interfaces., • Familiarity with OGC geospatial standards (WMS, WMTS, WFS) and real-time streaming protocols., • Experience with data transport frameworks such as ZeroMQ, Protobuf., • Hands-on experience building or modifying companion computer architectures (Jetson, Raspberry Pi, STM32MP1)., • Background in AI/ML for computer vision, sensor fusion, or ISR analytics., • Experience performing technical feasibility assessments for mission-critical or edge-deployed systems., • Valid UK or EU security clearance is a bonus. About the Organisation: The company operates at the forefront of geospatial technology, 3D modelling, and mission-focused intelligence solutions, serving telecommunications, emergency response, defence, and intelligence customers globally. Their mission is to help operators and decision-makers understand the world in real time with highly accurate, immersive geospatial and sensor-driven insights. Application Process: To apply, please submit your CV detailing your relevant experience and qualifications for the role. Applications will be reviewed on a rolling basis, so early submissions are encouraged. Equal Opportunity Employer: We value diversity and are committed to creating an inclusive work environment. We encourage applicants from all backgrounds to apply. Contact: ___

Role: Staff AI Engineer - GenAI (Dubai based) Join a high-performing Data Science & MLE team whose mission is to drive competitive value through scalable AI solutions. The team builds models that enhance user experiences, enable better decision-making, improve operational efficiency, and shape the regional AI ecosystem. As a senior technical leader, you’ll help define the future of personalization and user engagement using Generative AI and advanced machine learning. Key Responsibilities • Lead end-to-end AI transformation focused on personalization in a consumer-facing application., • Define and execute a long-term vision for customer acquisition and engagement strategies powered by data and AI., • Conduct exploratory analysis to understand user behavior, discover optimization opportunities, and develop behavior models to inform product enhancements., • Design and deploy data/ML instrumentation to extract insights and optimize the product experience., • Provide strategic product guidance through data-driven recommendations, experimentation insights, and root cause analyses., • Build and scale machine learning algorithms and pipelines to production using big data technologies., • Develop and deploy retrieval-augmented generation (RAG) systems and LLM-based applications., • Design and evaluate A/B tests and communicate results across cross-functional teams., • Define, implement, and monitor key performance metrics for AI-driven product features., • Stay up to date with industry advancements in data processing and AI/ML, and introduce best practices into the organization. Requirements • 7+ years of experience in data science, machine learning, and AI development across structured and unstructured data., • Advanced degree (Master’s or PhD) in Computer Science, Engineering, Mathematics, Statistics, or a related field (preferred), • Deep experience in personalization, search, or recommendation systems (3–4 years in a product-focused environment)., • Expertise in deep learning architectures (e.g., attention models, transformers, retrieval models)., • Hands-on experience with LLMs and GenAI technologies., • Strong programming and problem-solving skills with proficiency in Python, SQL, Spark, and Hive., • Deep understanding of classical and modern ML techniques, A/B testing methodologies, and experiment design., • Solid background in ranking, recommendation, and retrieval systems., • Familiarity with large-scale data tools (Hadoop, BigQuery, Amazon EMR, etc.)., • Experience with BI tools and visualization platforms such as Tableau, Qlik, or MicroStrategy., • Bonus: Experience with geospatial data and advanced analytics platforms.

A leading international renewable energy company is seeking an experienced Global QHSE Manager to lead its global Quality, Health, Safety, and Environmental agenda. This is a pivotal role within a fast-growing organization that develops, builds, and operates solar, onshore wind, and battery storage projects across Europe, North America, and Asia. Global QHSE Manager - Renewable Energy London (Singapore or Houston) Offer • A dynamic position with an international scope in the fast-growing Renewable Energy sector, offering both variety and significant responsibility., • You will be responsible for defining, executing, and embedding the company’s QHSE strategy worldwide., • A hands-on leadership position where strategic thinking meets operational delivery: shaping frameworks, setting global standards, and personally driving initiatives that foster a proactive safety culture and operational excellence., • The role spans all stages of the project lifecycle: from development through construction to operations, as well as corporate processes and ESG alignment., • You’ll work across multiple regions and cultures, ensuring that high standards are consistently achieved while supporting the company’s commitment to a net-zero future., • An opportunity to shape and lead the global QHSE function of a rapidly expanding renewable energy platform., • Enjoy a competitive compensation package aligned with your experience, including a company car, bonus schemes, and a comprehensive set of extra-legal benefits., • Flexible work-from-home options are available for at least three days per week. Job description • As the QHSE Manager you'll lead the global QHSE strategy and ensure its practical implementation across all business units., • You’ll build and maintain an integrated management system (ISO 14001, ISO 45001) to support consistent global standards., • As the QHSE Manager you’ll drive risk management, incident investigation, and continuous improvement processes; you’ll prioritize a positive safety culture, introducing engaging initiatives and training across all levels., • You’ll provide strategic oversight on crisis management, business continuity, and ESG performance, and represent the company in QHSE forums and drive innovation through data and digital tools., • You'll act as HSSE focal point for the UK office, supporting HSSE compliance across other global locations., • As the QHSE Manager you’ll work closely with senior leadership to drive cultural change, enhance safety performance, and ensure the company remains a benchmark for operational excellence as it scales toward its global net-zero ambitions. Your profile • You hold a Master's degree in Engineering, Environmental Science, a related technical discipline or possess equivalent qualifications through education and experience., • You have proven experience in leading QHSE functions within the renewable energy, utilities, infrastructure, construction, or related industries, as well as in building management systems from the ground up., • You have a deep understanding of international standards (ISO 9001, ISO 14001, ISO 45001) and HSE legislation., • You have a flexible mindset and the ability to thrive in a startup/ scale-up environment., • You have strong leadership and influencing skills, with the ability to engage and motivate diverse teams across geographies and cultures., • You are a strategic and analytical thinker with a hands-on, execution-focused approach. Interested? Send your CV to or contact me at +32 472/90.11.31. All applications will be treated with the utmost discretion!

About the Role We are seeking an experienced aviation professional to lead strategy and drive transformation through the coordination of teams implementing innovative projects in maintenance programme development. These initiatives will leverage data-driven and AI-enabled tools, as well as other advanced digital technologies, to optimise processes within the airline’s Technical Operations. Please note this is not a data science or IT development role. The successful candidate will act as a Subject Matter Expert (SME), working closely with AI labs, data scientists, and operational experts to guide the development and integration of AI-powered tools and other innovative technologies. The emphasis is on applying these solutions to drive business transformation within Technical Operations and Maintenance, Repair & Overhaul (MRO) functions. Key focus areas will include: • Optimisation of aircraft maintenance programme development, • Escalation processes for maintenance tasks and check intervals, • Optimisation of non-mandatory maintenance tasks, • Standardisation of maintenance job cards and job instructions, • Development of optimised work packages, • Deployment of digital and AI-powered performance dashboards The role aims to enhance safety, increase operational efficiency, and optimise maintenance costs. It requires a strong understanding of airline maintenance processes and supply chain dynamics, combined with the ability to bridge the gap between maintenance and engineering technical teams, operational stakeholders, and the AI lab and data scientists. The successful candidate will act as a key facilitator, ensuring that innovative tools and models are developed collaboratively and in alignment with operational realities and strategic business needs. This is a strategic leadership position that brings digital transformation into one of the most safety-critical and capital-intensive areas of the airline industry. Key Responsibilities • Define and execute the airline group’s digital transformation roadmap within Technical Operations and MRO for maintenance programme development. • Coordinate cross-functional teams across engineering, planning, maintenance, and digital/tech units to ensure alignment and adoption of AI-enabled solutions. • Lead the deployment of AI-powered tools for maintenance programme development, ensuring compliance with regulatory requirements and OEM guidelines. • Collaborate with engineering and planning teams to integrate new maintenance tools and adapt programmes to fleet and operational needs. • Validate use cases and ensure scalability of maintenance programme optimisation solutions across multiple operating companies (OpCos). • Drive change management and stakeholder engagement to embed AI-driven maintenance programme practices into operational workflows. • Monitor and communicate KPIs to demonstrate impact on safety, operational performance, and cost efficiency. Required Qualifications & Experience • Degree in Aeronautical Engineering, Mechanical Engineering, or a related technical discipline. • Extensive experience in aircraft maintenance programme development within an airline, MRO, OEM, or aviation regulatory body. • Native / Bilingual in English. Ideal Candidate Profile • Knowledge of regulatory frameworks (EASA Part-M, Part-CAMO, FAA equivalent)., • Proven track record of leading transformation or digitalisation projects in maintenance or operational settings. • Strong knowledge of maintenance programme optimisation methodologies and compliance requirements. • Ability to bridge engineering expertise with data/AI-driven innovation., • Strategic mindset with excellent stakeholder management and communication skills., • Passion for driving innovation and digital transformation in the aviation industry. What We Offer • The opportunity to accelerate your career at the forefront of airline maintenance digital transformation, leading high-impact projects across a global aviation group. • Continuous development of technical, leadership, and digital skills in a collaborative environment that fosters innovation and professional growth

Position: Junior Editorial Quality Analyst Company: FlatPlan Website: Work Hours: 10am - 6pm GMT / Mon - Fri Important: Please do not apply via LinkedIn - information below. Summary Hi, I’m Kieran, CEO at FlatPlan. We help the world’s most respected media companies deliver breaking news to millions of people on Apple devices. Our partners include global brands like The Atlantic, The Athletic, BBC Science Focus and Sky News. We're a passionate, fast-growing team delivering an impactful, technically sophisticated product - and we're looking for a Junior Editorial Quality Analyst to help us maintain the highest standards as we scale. Position overview Quality is everything in news publishing. A misformatted article, an oddly cropped image, a layout that doesn't render exactly as it should - these things matter when millions of readers are counting on accurate, polished content. As a Junior Editorial Quality Analyst, you'll help us test new features, hunt for bugs, flag issues and help ensure our platform performs flawlessly for some of the world's biggest publishers. This is an entry-level role ideal for a recent graduate with a sharp eye for detail and a genuine interest in media and publishing. You don't need a technical background - we'll teach you what you need to know. What matters is that you care about precision, notice things others miss and take pride in getting things right. You'll report to our Support Team Lead and learn from the wider support and QA team. You'll regularly interact with the entire team - from audience development to engineering to customer success. This is a remote role, but we are looking for a candidate who can meet in London once a month. Why you should apply You'll be joining a company trusted by some of the world's biggest and most respected media brands. Our work makes a huge impact on how high-quality journalism reaches millions of readers - and quality assurance is central to making that happen. We’re a remote-first, fast-growing team that cares deeply about what we do - and in particular about the role of journalism. We believe in giving our team members the tools, freedom and trust they need to do their best work - and we’ll support you every step of the way. If you're early in your career and want to join a company where your attention to detail genuinely matters, we'd love to hear from you. Responsibilities • Test new features and updates before they go live, checking for bugs, formatting issues and edge cases, • Document and report issues clearly, working with our engineering team to get them resolved, • Help support our enterprise customers by triaging enquiries and troubleshooting problems, • Spot patterns in issues and flag them proactively to improve our product, • Contribute to building and improving our QA processes and documentation, • Maintain high standards across everything you touch Ideal candidate • Recent graduate in journalism, media, communications or a related field (or equivalent experience), • Exceptional attention to detail - you're the person who spots the typo everyone else missed (bonus points if you include an example typo or mistake recently that bothered you), • Clear, precise written communication, • Organised and methodical in how you approach tasks, • Curious about technology and eager to learn, • Genuine interest in news, publishing or media How to apply: To apply, please send an email with the subject line 'Junior Editorial Quality Analyst - FlatPlan' to . Please include a PDF version of your CV and include the name of three of the brands we work with in the cover email. Attention to detail is key to this role, so we won't be able to proceed with applications if this step is skipped, unfortunately. Our commitment to diversity, equity and inclusion At FlatPlan we're dedicated to building a diverse team that reflects the varied experiences and backgrounds of our customers and the audiences they reach. We believe in fostering an inclusive environment, where every individual feels valued, heard and empowered. All qualified applicants will receive consideration without regard to race, colour, gender, gender identity or expression, sexual orientation, religion, national origin, disability, genetics, background or age. We strongly encourage individuals from underrepresented groups to apply.

Machine Learning Engineer Location: West London | On-site An innovative deep-tech company developing next-generation computing hardware is looking for a Machine Learning Engineer to join their growing team in West London. This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance data processing. You’ll help build and optimise models that push the boundaries of AI efficiency and capability, working closely with multidisciplinary teams across software, hardware and research. You’ll play a key role in developing and refining new ML architectures, designing input/output encoding methods, and conducting rigorous benchmarking to evaluate and improve performance. This role is ideal for an engineer with a strong foundation in ML who enjoys both conceptual design and hands-on model development. Responsibilities • Design and optimise novel machine learning architectures for high-dimensional and visual data., • Develop and test hybrid physical/software ML models tailored to next-generation computing platforms., • Design and evaluate data encoding, preprocessing and postprocessing methods., • Build tools and pipelines for performance benchmarking and model evaluation., • Research and adapt state-of-the-art ML and computer vision techniques to new hardware paradigms., • Collaborate cross-functionally with hardware, software and research teams. Requirements • Strong background in machine learning algorithm development and optimisation., • Proficiency in Python and modern ML frameworks such as PyTorch, JAX or TensorFlow., • Experience with data modelling, preprocessing and performance benchmarking., • Understanding of ML evaluation metrics and model analysis methods., • Excellent communication skills and collaborative mindset., • 3+ years’ experience in ML, computer vision, data science or a related quantitative field. What’s on offer • £100k+ salary depending on experience., • Stock options and pension contributions., • 25 days annual leave + bank holidays., • Annual training and development budget., • A chance to work on cutting-edge AI technology in a fast-growing deep-tech environment with strong career progression potential. If you’re interested in this role and have all the necessary experience, then apply now. Otherwise, if you’re looking for other AI/ML and computer vision opportunities, reach out to Oscar Harper at IC Resources.

We are partnered with a leading fixed income hedge fund in London seeking a talented C# Developer to join their front-office technology team. The fund has a strong and consistent performance track record and has invested heavily in its quant and tech capabilities as part of a wider growth plan. You’ll work closely with the quant team as well as traders and other front office stakeholders to build and enhance core trading systems, research tooling, and data-driven applications. Projects span proprietary trading system development, front-office tools, and the application of machine learning across the investment process. The environment is fast-paced, collaborative, and a highly technical one where code quality and low latent systems are a top priority. This team has a history of developing people’s careers and offers a broad and exciting range of new and existing projects for hires to get stuck into. These will consist of both back-end and front-end projects with 1 week sprints and release cycles, PR review processes and continuous development to master. This is a team we have worked with for a number of years and have a close, direct working relationship with the CTO. We have placed in the team multiple times so are able to go into detail regarding set up of the team and role The team primarily uses C# for core systems and Python within quant and data teams. C# and .Net experience and knowledge are essential for this role, but the fund will consider exceptional candidates who work with other likeminded OOP languages (C++, Java, Go). When it comes to financial markets experience, there is a particular interest in Fixed Income and Rates, but these are not essential, they will be open to other asset classes. If you are working in a front office environment or experienced with business critical and very low latent systems, then this role could be a good fit. The fund looks for low-ego, high-performing self-starters who enjoy ownership, teamwork, and delivering pragmatic, commercial solutions. The CTO is particularly interested in candidates that are passionate about technology and want to grow and learn within a fast paced and highly performant environment. You’ll have direct exposure to PMs, quants, and the CTO, and will contribute across design, architecture, and production support. Requirements: • Strong academic background in Computer Science or related field, • Excellent programming skills in C# and .Net, • Experience working with large data sets, • 1–5 years’ experience in a relevant software engineering role, • Interest in finance; fixed income or systematic experience a plus, • Positive, pragmatic, and collaborative mindset This is a rare opportunity to join a high-performing, technology-driven hedge fund with a genuinely collegiate culture. Due to demand, this role is advertised anonymously. If preferred, submit a blank application and we will contact you before requesting a CV. We can only respond to highly qualified candidates.

If you are a current Jazz employee please apply via the Internal Career site. \n Jazz Pharmaceuticals is a global biopharma company whose purpose is to innovate to \ntransform the lives of patients and their families. We are dedicated to developing \nlife-changing medicines for people with serious diseases — often with limited or no \ntherapeutic options. We have a diverse portfolio of marketed medicines, including leading \ntherapies for sleep disorders and epilepsy, and a growing portfolio of cancer treatments. \nOur patient-focused and science-driven approach powers pioneering research and development \nadvancements across our robust pipeline of innovative therapeutics in oncology and \nneuroscience. Jazz is headquartered in Dublin, Ireland with research and development \nlaboratories, manufacturing facilities and employees in multiple countries committed to \nserving patients worldwide. Please visit\n more information. \n The Associate Director position, Regulatory Affairs Global CMC is responsible for establishing global regulatory CMC Strategies for commercial and development projects in line with the global regulatory strategy. The Associate Director will have a strategic role in driving CMC Regulatory Strategies across multi-disciplinary teams, including leading the preparation of regulatory CMC submissions. Essential Functions * Leads activities that include planning content, authoring where appropriate, reviewing and approval of Module 2 and 3 CTD sections of all regulatory submissions (INDs, IMPDs, CTAs, MAAs, NDAs, BLAs, meeting requests, and briefing documents), in support of Global Regulatory Team Objectives. * Provide in-depth reviews of protocols, reports, presentations, and documents for CMC Development or Commercial product team, as required. * May represent Reg-CMC at related regulatory agency interactions for team products, and manage the preparation and review of material for agency interactions. * Provide timely updates of CMC Regulatory Strategy for the Global Regulatory Strategy document for assigned projects, as required and securing functional support. * Lead the preparation and submission of responses to regulatory agencies are managed appropriately and in a timely fashion. * Regularly interact with functional leaders, on matters concerning CMC regulatory strategy, including regulatory agency interactions to ensure functional alignment. * Lead GRA-CMC or GRA projects / initiatives that significantly impact the business globally. * Identify and lead continuous improvement opportunities for the GRA-CMC team and the broader GRA team. * Ensure continued regulatory compliance of products though adherance to change control and Regulatory Information Management procedures, completing the regulatory impact assessment of changes and ensuring appropriate implementation planning is executed. * Ensure compliance with company policies, procedures and training expectations Required Knowledge, Skills, and Abilities * Demonstrated understanding and strategic application of regulations and guidelines for drug lifecycle activities. * Demonstrated knowledge of CMC regulatory and ability to generate clear, well-argued positions. * Must have experience with electronic Common Technical Document CMC regulatory documents (MAA, BLA, variations, responses and CTAs/INDs). * Demonstrated understanding of FDA, EMA and ICH guidelines. * Exceptional interpersonal skills with the ability to work individually, within a multi-disciplinary team, as well as with external partners and regulators. * Demonstrated ability to influence and impact their functional area and department practices. Required/Preferred Education and Licenses * BSc/BA with regulatory CMC experience. * Fluent English language - written and verbal communication skills. #LI-Remote #LI-SM1 Jazz Pharmaceuticals is an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any characteristic protected by law. The successful candidate will also be eligible to participate in various benefits offerings, including, but not limited to, medical, dental and vision insurance, retirement savings plan, and flexible paid vacation. For more information on our Benefits offerings please click here: .

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and computer vision models for real-world use, • Collaborate with product and engineering to integrate ML systems into user-facing features, • Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines, • Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques, • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We're Looking For Must-Haves: • 4+ years experience writing production ready code for machine learning systems, • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products, • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+, • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning, • Strong Python skills and experience with PyTorch, TensorFlow or Keras, • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI, • Bachelor's degree in a technical field such as computer science or years of equivalent experience, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field, • 2+ years experience training and optimising computer vision models, • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems, • Experience with Django or similar Python web frameworks, • Familiarity with Docker and containerised development, • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

This is a unique opportunity to work at the cutting edge of AI, data technology, and elite football analytics. As a Data Scientist, you’ll join a collaborative, high-performing team with a culture rooted in creativity, innovation, and excellence. In this role, you’ll design and deploy data models that power decision-making across every area of the club — from strategy, tactics, recruitment, and performance, to pre- and post-match analysis. You'll also play a key role in supporting the club’s commercial operations, including e-commerce and fan engagement. If you're passionate about using advanced data science to drive real-world impact in sport, this is the role for you. Key Responsibilities • Develop and apply statistical models and algorithms to analyse player performance, match outcomes, and tactical insights, • Collect, clean, and process football-related data from diverse sources, • Build clear, compelling visualizations and deliver insights to both technical and non-technical stakeholders, • Collaborate with analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions, • Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background • 3+ years of industry experience as a Data Scientist, plus a strong academic foundation, • Python Data Science Stack: Advanced proficiency in Python, including Pandas, NumPy and scikit-learn., • Statistical & Machine Learning Modelling: Experience with a variety of ML techniques (regression, classification, clustering, time-series forecasting), • Experience with deep learning frameworks such as Keras or PyTorch, • Model Deployment: Proven ability to productionise models, including building and deploying APIs, • Strong visualization and communication skills, with the ability to translate complex technical findings into actionable insights for coaches, analysts, and execs Highly Desirable Skills • Football Analytics Experience: Familiarity with football-specific datasets (event, tracking, positional), and libraries like mplsoccer, • Advanced MLOps & Modelling: Experience with the Vertex AI ecosystem, especially pipelines, and advanced techniques such as player valuation, tactical modelling, etc., • Bayesian Modelling: Knowledge of probabilistic programming (e.g., PyMC) for uncertainty-aware predictions, • Stakeholder Collaboration: Demonstrated ability to work directly with stakeholders to scope, iterate, and deliver impactful solutions in fast-moving environments What They Offer • A chance to work on real-world data that impacts elite football performance, • Access to high-value datasets, sports science teams, and cross-disciplinary experts, • A flexible hybrid working model (1 day per month in the London office), • The opportunity to grow within a digital-first team at a world-renowned football club, • The satisfaction of applying your engineering skills in an environment where your work directly influences results on the pitch

We are looking for an experienced Service Operations Engineer. Responsibilities: • Responsible for planning the server or rack, arranging the server mounting or rack installation, and following up the installation of the server operating system, • Responsible for the daily maintenance, troubleshooting, repair and follow-up break-fix of the server and other hardware, • Maintain data on internal systems including Asset Management, Ticketing, & rack elevations, • Work with remote vendors or junior SOE to solve hardware batch failures and problems, • Oncall on duty, responsible for dealing with the problems raised by the business owner side, • Collect and check online asset data, • Submit and track the part RMA or media destruction process, • Server network troubleshooting, • Server lifecycle management, • Other server operation related work Requirements: • Bachelor’s Degree in Computer science, Electrical engineering or any other relevant fields, • Strong ability to work under pressure; Strong learning ability, broad technical interest; Strong sense of responsibility, full of enthusiasm for work, • Good communication skills in English, Mandarin is preferred, good team work spirit; Ability to work independently, • Knowledge of the interdependencies of data center functions and technologies, • Experience with massive remote OS installation such as PXE boot, • Can understand and run Shell or Python scripts, • Familiar with simple automation tools, such as Ansible, • Familiar with Linux system, able to locate hardware faults; Strong analytical and problem solving skills, • Basic TCP/IP knowledge concepts – Subnetting, VLANs, DNS, Ipv6; Ability to perform general troubleshooting, • Knowledge of out-of-band/lights-out server communication methods, such as IPMI and NCSI, • Strong documentation skills and habits What we offer • Onsite - London, • Full Time Employment; Permanent Contract, • Attractive Remuneration Package, • Career Growth Opportunities, • Skills Enhancement through Udemy Business, • Work in a well-established Multinational Company, • Supportive international team About Centific Centific expertly engineers platforms and curates multimodal, multilingual data to empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable Artificial Intelligence(AI) deployment. Our team includes over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We leverage an integrated ecosystem comprised of industry-leading partnerships, and 1.8 million vertical domain experts across 230 locales, to create high-quality pre-trained datasets, fine-tuned industry-specific Large Language Models(LLMs), and Retrieval-Augmented Generation (RAG) pipelines supported by vector databases. Our innovations can reduce Generative Artificial Intelligence(Gen AI) costs by up to 80% and bring Gen AI solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in Generative AI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by leveraging Generative AI at scale, ensuring they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets. Applying to this job implies your agreement with: In compliance with the applicable data protection regulations (General Data Protection Regulation 679/2016), we at Centific, as data Controllers, inform you that the data collected will be processed to manage your application in the selection process. This processing is legitimized by the consent given upon submitting your application, and the data will be retained for a maximum of two years. You may exercise your rights of access, rectification, deletion, opposition, restriction of processing, and data portability by contacting Furthermore, if deemed necessary, you may file a complaint with the relevant supervisory authority. Your Authentic Self at Centific Centific is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Centific is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers. This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant early-stage funding, including a $10m Seed round in 2024. The founding team is composed of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real-world problems with meaningful societal impact. You will be joining a highly collaborative and talented team that is revolutionising how operational planning is conducted at scale and speed. Primary Responsibilities: • Shape the company’s AI trajectory by developing AI solutions to solve high-stakes problems, • Collaborate closely with military experts, along with the product team, to identify and capitalise on high-impact opportunities, • Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: • MSc in Machine Learning, Computer Science, or a related field, • 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation, • Strong software engineering skills with a focus velocity, • Excellent communication skills and the ability to flourish in a team, • Located in London/Paris and open to working in office Tech Stack: • Python FastAPI, • Python, Typescript, or React, • Open source LLMs, • Building for production Benefits Currently Offered (likely to improve as company grows): • 100% coverage for travel expenses, • Childcare support, • Min. 3 months fully paid parental leave, • 25 days holiday + bonus days for company closure, • Subsidised lunches in office, • Gym membership, • Private medical insurance, • Subsidised coaching/training, • Work-from-home allowance to cover office equipment, desk, chair, monitor etc., • Fertility support benefits, including financial support for IVF, • Menstrual leave/congé menstruel, • Company off-sites twice per year Interview process: • Introductory interview – 45 mins, • Live coding task – 45 mins, • On-site interviews + meet the team – half day, • Final interview with CEO – 30 mins

Who Are We Hansen Technologies is a leading global provider of software and services that enable organisations to transform customer experiences and streamline critical business processes. With a rich history of innovation and a footprint that spans over 80 countries, Hansen empowers utilities, energy, and communications companies to thrive in an ever-evolving digital landscape. Our commitment to excellence, customer focus, and collaborative culture makes Hansen a place where passionate professionals can make a meaningful impact, drive real change, and help shape the future of industries worldwide. We are proud to be an equal opportunities employer. Hansen prides itself on celebrating diversity and is committed to creating an inclusive environment for all employees, even extending this to how we work with our customers, partners, and suppliers. We welcome applications from all qualified candidates, regardless of age, disability, gender identity or expression, marital status, race, ethnicity, religion or belief, sexual orientation, or any other protected characteristic. If you require any adjustments or accommodation during the recruitment process, please let us know. Why This Role Matters Design and Innovate, Enable and Empower, Transform and Scale. This is more than an engineering role—it’s a strategic enabler. You’ll design and deploy advanced AI architectures, foster adoption through enablement programs, and act as a trusted advisor to stakeholders. Your contributions will directly influence how we leverage AI to create measurable business outcomes and maintain our position as a leader in intelligent automation. What You’ll Do • Design AI Solutions: Architect and prototype advanced AI systems leveraging multi-cloud platforms (AWS, Azure, GCP) and large language models., • Build Scalable Architectures: Develop secure, robust, and future-ready AI frameworks that integrate seamlessly with enterprise technology stacks., • Collaborate Cross-Functionally: Partner with software engineers, data scientists, and business stakeholders to deliver optimized AI solutions., • Drive AI Adoption: Create and lead enablement programs, workshops, and hands-on labs to upskill teams and foster a culture of innovation., • Evaluate Emerging Technologies: Continuously assess new AI tools and frameworks for integration into our ecosystem., • Advise Strategically: Act as a subject matter expert, guiding stakeholders on best practices, integration opportunities, and change management. What You Bring • Expertise in cloud platforms (AWS, Azure, GCP) and multi-cloud integration., • Deep understanding of large language models, machine learning frameworks, and AI architectures., • Proficiency in programming languages (Python, Java, C#)., • Strong analytical and problem-solving skills for complex system design., • Experience with DevOps practices and deploying scalable AI services., • Excellent communication and collaboration skills for cross-functional engagement., • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field., • 1+ years of experience in AI engineering (in-house or consulting)., • Strategic mindset with ability to turn vision into actionable steps. Benefits and Perks Join us for a rewarding career with competitive compensation, leave entitlements, health coverage, and financial security. Enjoy work-life balance, growth, and recognition for your exceptional performance. Our team will unveil the intricacies of our benefit package during the selection process.

AI Startup in London – Hiring Full-Stack Engineers (Senior) – 5 days a week on-site – up to £150k I am working with a rapidly growing AI startup based in London, building next-generation products that transform how businesses use technology. They are looking for highly talented engineers who are ambitious, driven, and eager to make an impact. Roles Available: 🔹 Full-Stack Engineer – Strong expertise in TypeScript, React, Python and Golang. They can consider someone who its more frontend, or backend leaning, but the expectations is to work across the stack and pick up languages that you are not familiar with. What We’re Looking For: ✔️ A degree from a top university in Computer Science, Engineering, or a related field ✔️ Demonstrated ambition and drive, reflected in career achievements and working history ✔️ Ability to thrive in a fast-paced, collaborative startup environment ✔️ Commitment to on-site work in London, 5 days a week If you are passionate about building cutting-edge products and want to work alongside ambitious colleagues in central London, please apply. AI Startup in London – Hiring Full-Stack Engineers (Senior) – 5 days a week on-site – up to £150k

Quant Developer - Equities Location: London or Dubai Permanent Our client are a market leading hedge fund, with a global reach in relation to their clients and offices. They are on the lookout for a talented Quant Developer with exceptional skills in python programming, and solid experience on equities focused projects Responsibilities for an Equity Derivatives Quant: • Core Trading Engine Development: Build, maintain, and enhance the core trading engine to support optimal performance., • Systematic Trade Automations: Create and implement automated trading systems to improve efficiency and drive results., • Collaborative Innovation: Partner with traders, researchers, and developers to understand needs and deliver tailored solutions. Requirements for an Equity Derivatives Quant: • Educational Background: Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field, • Extensive knowledge surrounding equities asset class, • At least 2 years experience within the financial services industry, • Hands on experience with object orientated programming, using Python, • Strong communication skills and confidence in working within a collaborative team environment. To hear more details please apply to this position or contact Ben Mortimore at Anson McCade. Job Reference: AMC/BMO/QD01

Senior Front End Engineer / Developer (TypeScript React) London / WFH to £130k Are you a Front End technologist who enjoys building systems from scratch? You could be progressing your career, in a senior, impactful role at a global, prime broker that is replacing the legacy infrastructure used across capital markets with a new cloud-native clearing and custody system, designed for today's complex global markets. The company is experiencing great success in the US and is expanding into the UK. As a Senior Front End Engineer you will take ownership of building the front end UI for a brand new Futures Trading platform for the UK, primarily using TypeScript and React. You'll be working on complex and challenging, highly available mission critical systems in collaboration with Product Managers to understand and define new features and coordinating with other developers with the goal of writing software as one. You'll be empowered to implement the latest tech, seeking continual improvement and can build a team around you, progressing to a leadership role. Location / WFH: You'll join a small, highly talented and collaborative team in the London, City office three days a week with flexibility to work from home the other two. About you: • You have experience within a big tech, eCommerce or other high web traffic environment, • You have strong front end development skills with TypeScript and React experience, building scalable web applications, • You take in pride in producing clean, high quality, well tested code, • You have experience of working on Greenfield systems and creating front end web applications from scratch, • You're familiar with modern software engineering practices, • You are collaborative and pragmatic, able to take ownership and work with others, • You have experience across the full development lifecycle, • You are degree educated in Computer Science or closely related discipline What's in it for you: As a Senior Front End Engineer / Developer you receive a competitive package: • Salary to £130k, • Pension, • Hybrid working, • Influential role at a growing company with excellent career progression and interesting work Apply now to find out more about this Senior Front End Engineer / Developer (TypeScript React) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Job Title: Big Data Developer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Essential skills required : • Designing and implementing the systems of the software., • Load operations by using Extract Transform (ETL Process)., • Developing systems for collecting and processing the data., • Should have the ability to research new methods for gaining valuable data and improving its quality., • Developing structured data solutions by using multiple programming languages and tools., • Developing data architecture that meets the needs of the business., • Collaborating with the other team members, data analysts, and data scientists., • Mining data from various resources to construct efficient business models. Soft skills required : • Developing, maintaining, testing, analysing, and evaluating a company's data., • Gathering large amounts of data from multiple sources., • Ensuring data pipelines are scalable, secure, and able to serve multiple users., • Converting structured, unstructured, and semi-structured data into actionable insights for a business. Educational Criteria : • Bachelor’s degree in computer science, Maths, IT, statistics or physics related field., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Role Overview We are looking for an experienced Martech Solutions Architect to help shape and deliver customer orchestration solutions that align business strategy, use cases, and technology execution with customer experience and business value. This role sits between key stakeholder teams across strategy, technology, and delivery, acting as a trusted advisor who leads discovery, defines business-led MarTech roadmap, and translates them into scalable architectures and integration requirements underlined by value. You will bring strategic lens to technical scoping and implementation and work closely with technical and delivery teams to realise measurable business value from CDP investments. The ideal candidate brings deep CDM/ MA/ data layer domain expertise, a strong understanding of the wider martech and data ecosystem, as well as the business impact of solutions and has the ability to engage confidently with senior stakeholders layering business acumen on top of technical expertise. Key Responsibilities Business Architecture & Discovery • Engage with senior stakeholders to understand business goals, customer strategies, and transformation priorities, • Lead CDP-focused discovery, defining customer use cases, data requirements, and activation opportunities, • Design and scope end-to-end CDP architectures, covering data ingestion, identity resolution, segmentation, and activation, • Define how the CDP integrates with, Data lake / lakehouse platforms (e.g. Databricks), CRM and sales platforms (e.g. Salesforce), Marketing automation and engagement tools (e.g. Braze), • Work with backend and data engineering teams to understand requirements and design for API-based integrations for real-time triggers, events, and personalization, • Support solution design for both streaming and batch pipelines across CDP, data platforms, and activation channels, • Drive cross-functional collaboration to translate business architecture into measurable business impact., • Support establishment of governance frameworks, operating models, and roadmap planning for CDP and martech platforms, • Track business value and benefits realisation across the delivery lifecycle, • Serve as the internal CDP practice lead, owning platform capabilities, technical direction, and strategic value. About the Candidate Education Experience & Expertise • 6-8+ years’ experience across Business Architecture, Solution Architecture, Martech, or Data-led transformation roles, • Demonstrated, hands-on experience working with enterprise Customer Data Platforms, ideally including platforms such as Treasure Data or comparable CDPs, • Strong experience designing and shaping end-to-end martech and data architectures, spanning CDP and identity resolution, Marketing automation and engagement platforms, CRM and customer-facing systems, Data lake / lakehouse platforms (e.g. Databricks)., • Proven track record of leading discovery, requirements definition, and solution shaping in complex or ambiguous environments, • Demonstrated ability to operate as a bridge between strategy, business, and technology, • Comfortable leading discovery, influencing senior stakeholders, and translating complexity into clear recommendations, • This is not a purely technical role - success is measured by business alignment, adoption, and value, not just implementation, • Collaborative, outcome-focused, and able to mentor or guide less experienced team members, as well as operate confidently within complex, multi-stakeholder project environments., • Proactive and outcome-driven, with a strong bias toward identifying opportunities, shaping ideas, and proposing solutions rather than narrowly executing

Company Description Leading Point is a specialist Data Management, Risk and AI solutions company based in London, Dubai, and New York. We deliver on complex risk management, foundational data capabilities, data products and AI solution mandates for global banks, asset and wealth managers, insurers and PE/VC. Role Description This is a full-time hybrid role for a Financial Services focused AI Engineer at Leading Point. The role is located in the London Area, United Kingdom, with the flexibility for some work from home. The AI Engineer will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing on a day-to-day basis. Qualifications • Pattern Recognition and Neural Networks skills, • Computer Science and Software Development skills, • Natural Language Processing (NLP) skills, • Strong analytical and problem-solving skills, • Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience, • Bachelor's degree in Computer Science, Engineering, or related field

Java Developer / Software Engineer (Java AWS Kafka) London / WFH to £90k Are you a bright, ambitious Java technologist who enjoys building systems from scratch? You could be progressing your career at a global, prime broker that is replacing the legacy infrastructure used across capital markets with a new cloud-native clearing and custody system, designed for today's complex global markets. The company is experiencing great success in the US and is expanding into the UK. As a Java Developer you will join a small team responsible for building a brand new Futures Trading platform for the UK, primarily using Java with a focus on backend development but also with some React UI work. You'll be working on complex and challenging, highly available mission critical systems in collaboration with Product Managers to understand and define new features and coordinating with other developers with the goal of writing software as one. You'll be supported to learn and develop your skills by the senior engineer. Location / WFH: You'll join a small, highly talented and collaborative team in the London, City office three days a week with flexibility to work from home the other two. About you: • You are degree educated in Computer Science or closely related discipline, • You have commercial backend Java development experience including Spring, Spring Boot, microservices, • You have a good knowledge of AWS, • You also have an appreciation of UI development with TypeScript / React, • You take in pride in producing clean, high quality code, • You're familiar with modern software engineering tools such as Kafka, Kubernetes, MongoDB, • You are collaborative and motivated to learn about financial markets and advance your technical knowledge What's in it for you: As a Java Developer / Software Engineer you receive a competitive package: • Salary to £90k, • Pension, • Hybrid working, • Influential role at a growing company with excellent career progression and interesting work Apply now to find out more about this Java Developer / Software Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

Pricing Algo Java Engineer Up to £160,000 on the base I am looking for experienced Java engineers to join one of Europe’s top-tier fixed-income algorithmic trading desks. The role involves building a greenfield execution system from the ground up, spanning five core business domains, with a strong focus on performance, reliability, and clean system design in a front-office trading environment. Role Description You are a confident and self-motivating developer with a solid understanding of electronic markets. You are client focused and are comfortable communicating with stakeholders across the bank. You are at home developing in a small self-organising team and value user feedback within an agile development process. You can manage expectations effectively and have a demonstrable track record of owning delivery of a high profile product to demanding business users. You are familiar with the Fixed Income markets, both cash and derivatives, and understand the value of an intuitive, robust and reliable eTrading systems to a trading desk. Key Responsibilities: • Develop sophisticated algorithmic trading strategies using quantitative methods and statistical analysis, • Implement and optimize execution algorithms to improve trading efficiency and reduce market impact, • Collaborate with quants, developers, and traders to translate trading ideas into production-ready code, • Monitor and evaluate the performance of trading strategies, making real-time adjustments as necessary, • Conduct research on new trading opportunities and market inefficiencies, • Develop and maintain relationships with electronic trading venues and liquidity providers, • Contribute to the firm's overall electronic trading infrastructure and technology stack Required Experience: • Degree in Computer Science, Mathematics, Physics, or a related quantitative field, • Minimum of 5 years of experience in electronic trading or a similar role in financial markets, • Strong programming skills in Java, with experience in low-latency environments, • In-depth understanding of market microstructure, order types, and exchange connectivity, • Excellent problem-solving skills and ability to work under pressure in a fast-paced environment

Primary Location: London · Canary Wharf HQ (on-site) Plexe is building AI agents that turn simple plain-English prompts into full production ML applications, including data pipelines, models, and more. We're backed by Y Combinator (X25) and were named one of our batch's "Top-10 AI agent startups" by Business Insider. We're looking for a top tier graduate or early-career professional with excellent engineering aptitude, a deep ability to think in terms of data and systems, as well as a positive "can do" attitude. You'll work directly with Plexe customers to deploy and operationalise the Plexe platform, enabling our customers to succeed and get the most value from our product offering. Your forward deployment will give you a deeper understanding of our customers' needs and enable you to contribute meaningfully to the core product, including engineering multi-agent system, ML model serving, and more. You'll significantly boost your career prospects by working with a team extremely skilled engineers and taking full ownership of entire streams of work. Responsibilities • Forward Deployment: work with Plexe customers to understand their needs, analyse their data, architect ML systems, and deploy our platform - eventually owning entire customer engagements and related product features., • Product Development: leverage your forward deployment experience to improve the Plexe platform, including distributed ML infra, multi-agent systems, observability, client-facing APIs, and more., • Cross-Functional Collaboration: work closely with founders to translate business vision and customer feedback into actionable engineering plans., • Ownership: take full engagement ownership from kick-off to customer success. Your ideas have the power to shape business directions. Qualifications We don't have strict "formal" requirements - we just want to see you're awesome and up for the challenge! This is an early career role, so academic/university experience is welcome, although having at least some professional experience is a clear advantage. Must-Have: • 0-2 yrs building ML/AI systems that served real users., • Strong Python; exposure to AWS, Docker, Terraform/CDK, etc., • Experience with basic web computing constructs: APIs, authentication, etc., • Solid grounding in ML algorithms, MLOps, and data science., • Ability to work with customers/stakeholders to help them achieve their goals., • Willingness and ability to travel to customer offices globally (max 50% time normally, but may occasionally exceed 50% if required). Nice-to-Have: • Built agentic workflows / LLM tool-use., • Experience with MLFlow, Arize, LangFuse, or other MLOps tools., • Experience with deploying ML models on SageMaker, KServe, or similar. Why Plexe? • Hard problems: we're automating the entire ML/AI lifecycle from data engineering to insights., • High ownership: first 5 engineers write the culture as well as the code. You have the power to fix whatever issue you can point at., • Exciting environment: work at a fast-paced YC-backed startup with one foot in Silicon Valley., • Location and compensation: sweet office in central Canary Wharf; equity that can matter. Compensation £50,000 - £65,000 base salary, 0.10% - 0.30% equity, eligibility for further bonuses based on company and/or individual performance.

COMPANY DESCRIPTION HSSMI Consulting Ltd is a sustainable manufacturing innovation consultancy, focusing on helping manufacturers scale operations, improve productivity, and adopt circular economy practices. Since 2012, HSSMI has collaborated with government bodies, established manufacturers, and start-ups to deliver innovative and sustainable solutions. The company's expertise spans strategic manufacturing consultancy, digital manufacturing tools, lean manufacturing, battery technologies, hydrogen propulsion, and the circular economy. Through research and practical engineering services, HSSMI is dedicated to advancing the UK manufacturing industry while fostering environmental responsibility and competitiveness. LOCATION Birmingham / London JOB PURPOSE HSSMI Consulting is recruiting two Graduate Digital Engineers to support the growth of its Digital Manufacturing and Innovation Engineering capability. This is a full-time, entry-level professional role designed for recent graduates who are passionate about applying digital technologies to real-world manufacturing and industrial challenges. The successful candidates will contribute to the development and deployment of simulation-driven, data-connected manufacturing solutions, working alongside experienced engineers on live industrial and R&D projects. The role offers structured development, mentoring, and hands-on project delivery experience across Digital Twins, NVIDIA Omniverse, Cyber-Physical Systems, IIoT, AR/VR, cloud technologies, and advanced manufacturing systems. PRINCIPAL ACCOUNTABILITIES • Contribute to the development, testing, and maintenance of digital twin models for manufacturing and industrial systems, including models built using NVIDIA Omniverse and related platforms., • Apply Python and/or C++ scripting to support simulation workflows, data integration, automation, and tool development., • Support the integration of digital models with real or simulated industrial data, gaining experience in connected and cyber-physical systems., • Assist in deploying and interacting with cloud-hosted environments, developing an understanding of cloud architecture and data pipelines used in digital engineering solutions., • Contribute to the creation of basic web-based user interfaces and visualisations using HTML, CSS, and JavaScript to support digital tools and dashboards., • Produce clear and professional technical documentation, research summaries, and internal or client-facing presentation material., • Work as part of multi-disciplinary project teams, collaborating with engineers, researchers, and external partners across manufacturing, automation, and digital innovation projects., • Participate in internal design reviews, technical workshops, and project meetings to understand full project lifecycles, delivery constraints, and stakeholder needs. JOB CONTEXT This role is suited to graduates seeking to build a career in digital engineering, simulation, systems integration, or smart manufacturing. Graduates will be exposed to a broad range of Industry 4.0 technologies while contributing to meaningful industrial and innovation-led projects. The role combines hands-on technical delivery with structured professional development, providing a strong foundation for progression into specialist or senior digital engineering roles within HSSMI Consulting. KNOWLEDGE & EXPERIENCE • Bachelor’s degree (BEng/BSc) or master’s degree (MEng/MSc) in Engineering, Computer Science, Manufacturing, Systems Engineering, or a closely related technical discipline. · Systems modelling or simulation · Manufacturing systems or industrial engineering · Data analytics or computational methods • Demonstrable application of digital or simulation technologies through university projects, dissertations, internships, industrial placements, or personal technical projects., • Working knowledge of Python and/or C++, with the ability to apply these languages in an engineering or analytical context., • Strong problem-solving skills and an analytical approach to technical challenges., • Good written and verbal communication skills, with the ability to explain technical concepts clearly., • Proactive attitude, curiosity, and a willingness to learn in a fast-paced consulting and innovation environment. BEHAVIOURAL COMPETENCIES • Ability to manage own tasks and priorities while working under guidance., • Strong team-working ethos with the confidence to contribute ideas and technical input., • Professional approach to documentation, communication, and stakeholder interaction., • Willingness to engage with new technologies and adapt to evolving project needs. DESIRABLE EXPERIENCE • Exposure to digital twins, simulation tools, and/or 2D/3D CAD modelling software., • Familiarity with manufacturing systems, automation, robotics, or industrial data., • Awareness of cloud platforms, IIoT concepts, or data integration architectures., • Experience using version control tools (e.g. Git) or collaborative development environments., • Interest in AR/VR technologies or advanced visualisation techniques. GRADUATE DEVELOPMENT & TECHNICAL PROGRESSION Graduates in this role will progressively develop competence in: • Building, validating, and applying digital twins for manufacturing and industrial systems., • Simulation scripting and tool development using Python and C++., • Understanding and applying cloud-based architectures within digital engineering solutions., • Working with cyber-physical systems and connected manufacturing environments., • Developing web-based interfaces and visualisation tools to support engineering decision-making., • Operating within professional project delivery environments, including technical reporting, collaboration tools, and client engagement., • Structured mentoring and on-the-job learning will support the transition from graduate-level capability to independent technical contribution. WHAT WE OFFER • Starting salary of £30,500, increasing over time and based on performance., • Hybrid working arrangement, with 80% of the working week based from home and 20% based in the office., • Electric Company car scheme (2x vehicles per employee), • Personal and Family healthcare, • Commission scheme, • Share equity options, • Performance related Bonus scheme, • Competitive Maternity / Paternity policy, • Life insurance, • 8% non-contributory pension, • 25 days holiday + Bank Holidays If you think this role aligns with your skills, experience and attitude then please forward your CV and covering letter to . Any applicant who meets the requirements will be invited to an initial interview. This is regardless of any identification with BAME or LGBTQ+, or on the basis of other factors such as veteran status, national origin, or disability.

Senior Cloud Engineer Full Time / Hybrid 2 days per week onsite in London You will be responsible for building, operating, and improving large-scale cloud environments that support critical digital platforms. Key responsibilities include: • Designing and operating highly available cloud environments using public cloud platforms, • Building and maintaining secure, resilient network architectures (virtual networks, routing, firewalls, load balancing), • Working closely with product, engineering, and delivery teams to translate business needs into scalable infrastructure, • Influencing technical direction across dependent engineering teams to improve platform reliability and delivery, • Creating automated provisioning and deployment pipelines using Infrastructure as Code, • Continuously improving platform architecture through modern cloud engineering practices, • Managing cloud resources efficiently while meeting governance and compliance requirements, • Supporting and mentoring other engineers to promote high standards of engineering practice, • Diagnosing and resolving infrastructure and platform issues across environments Required experience • Degree in Computer Science, Engineering, or a related technical discipline, • 5+ years of experience working with public cloud platforms (e.g. GCP, AWS, or Azure), • 5+ years of experience with CI/CD systems (e.g. GitHub Actions, Jenkins, Azure Pipelines, etc.), • 5+ years of hands-on software engineering experience in at least one modern language (e.g. Python, TypeScript, Go, Rust), • 3+ years working with container platforms and orchestration technologies (e.g. Kubernetes, OpenShift, Docker), • 3+ years using Infrastructure-as-Code tools such as Terraform Nice to have • Strong understanding of modern engineering practices (Git-based workflows, DevOps, observability, automation), • Experience working in agile delivery environments using tools such as Jira or Confluence, • Familiarity with open-source tooling and communities, • Experience with cloud security, vulnerability scanning, and risk management tools, • Strong knowledge of networking concepts for large-scale, container-based platforms

🚀 Senior Python Engineer Location: London / Hybrid / Remote (UK & NL time zones) Type: Full-time Salary: Up to 85k + benefits Are you a Python engineer who loves tackling complex problems with math and analytics? 🧠💻 We’re searching for a Senior Python Engineer to help build cutting-edge software used by top global brands for forecasting, optimization, and analytics. This isn’t a data science role, it’s all about engineering powerful, scalable Python solutions that bring mathematical models to life. 🛠 What you’ll do: • Build, maintain, and improve Python modules for analytics and optimization., • Implement advanced algorithms for forecasting, econometrics, and marketing mix modeling., • Handle large-scale data and optimization challenges while keeping performance and scalability in mind., • Apply software engineering best practices—SOLID principles, design patterns, unit & integration testing., • Work with modern tech: NumPy, SciPy, Pandas, SQL, Docker, Kubernetes, cloud platforms, CI/CD., • Collaborate with an international team across the UK, Netherlands, and US., • Take ownership of key product modules and influence software architecture. 🏆 What we’re looking for: • 5+ years Python experience, especially with scientific libraries (NumPy, SciPy, Pandas)., • Relevant degree (Maths, Computer Science, or related quantitative field)., • Strong maths/statistics/analytics background, with experience translating theory into production-ready Python code., • Experience building analytics/optimization solutions in a product environment., • Bonus: familiarity with marketing mix modeling, forecasting, or econometrics., • Bonus: experience with SQL, Docker, Kubernetes, cloud platforms, CI/CD pipelines., • Excellent communicator and team player, able to problem-solve and share knowledge. Why this role is exciting: 🎯 Shape the analytics engine behind tools used by leading global brands. 🌱 Opportunities to mentor others and own critical modules. 🚀 Work in a fast-paced, performance-driven environment with room for growth. 📚 Training, workshops, and conferences to keep your skills cutting-edge. Why you’ll love this team: Join a highly skilled, international engineering team where your work directly impacts product success. Flexible working options make it easy to balance life and work, while challenging problems will keep you engaged every day.

Job Description London | Full-Time | Junior Engineer (Client-Facing Analytics) Permutable Technologies is a fast-growing AI company helping the world’s leading financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. Our technology is used by hedge funds, banks, and commodity trading desks to integrate signals directly into live trading and research workflows. We’re hiring a Junior Data Scientist / Quant to sit at the intersection of data science, product, and client integration. This role is ideal for someone early in their career who wants to work for a financial institution disruptor. What You’ll Be Doing • Support client integrations of Permutable’s data, APIs, and signals into their research or trading systems, • Assist with signal onboarding, including explaining methodologies, assumptions, and intended use-cases, • Help run and interpret back-tests and validation analysis for client-specific workflows, • Work with client data to test use-case applications (e.g. strategy overlays, filters, dashboards), • Support customers during onboarding and early usage, helping answer analytical and data-related questions What You Bring • Degree (or equivalent experience) in Mathematics, Physics, Engineering, Computer Science, Economics, or similar, • Strong grounding in statistics, probability, and time-series analysis, • Comfortable working in Python and analysing data programmatically, • Clear communicator — able to explain analysis simply and honestly, • Curious about how data products are actually used by clients, • Interest in financial markets, trading, or applied ML Nice to Have • Experience with APIs, JSON, or data pipelines, • Familiarity with back testing, signals, or quantitative strategies, • Basic SQL knowledge, • Exposure to financial or commodities markets Tech & Tools You’ll Work With • Python, AWS, CI/CD, • REST APIs & real-time data pipelines, • LLM-driven analytics & event-based data, • Client-facing dashboards & research workflows Why Join Permutable? • Learn how AI and quant signals are deployed inside real institutions, • Direct exposure to hedge funds, banks, and trading desks, • Small team, fast learning curve, real responsibility, • Clear progression into Data Scientist, Quant, or Product Analytics roles, • You’ll help ensure clients don’t just buy the product — they actually succeed with it Industry: Business Intelligence Platforms Employment Type: Full-time

AI Prompt Engineering Consultant, Technically Sharp & Systems-Minded Deesign and optimize prompts, architect LLM-powered systems and deploy scalable GenAI workflows that connect people and intelligent systems in new, high-impact ways. THE ROLE Prompting & Reasoning Systems • Design, test and optimize prompts for leading frontier models (GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek)., • Apply advanced prompting strategies:, • Chain-of-Thought, ReAct, Tree-of-Thoughts, Graph-of-Thoughts, Program-of-Thoughts, self-reflection loops, debate prompting and multi-agent orchestration (AutoGen/CrewAI)., • Build agentic workflows with tool calling, memory systems, retrieval pipelines and structured reasoning. GenAI Application Engineering • Integrate LLMs into applications using LangChain, LlamaIndex, Haystack, AutoGen and OpenAI s Assistant API patterns., • Build high-performance RAG pipelines using:, • hybrid search, reranking, embedding optimization, chunking strategies and evaluation harnesses., • Develop APIs, microservices and serverless workflows for scalable deployment. ML/LLM Engineering • Work with AI+ML pipelines through Azure ML, AWS SageMaker, Vertex AI, Databricks, or Modal/Fly.io for lightweight LLM deployment., • Utilize vector databases (Pinecone, Weaviate, Milvus, ChromaDB, pgVector) and embedding stores., • Use AI-powered dev tools (GitHub Copilot, Cursor, Codeium, Aider, Windsurf) to accelerate iteration., • Implement LLMOps/PromptOps using:, • Weights & Biases, MLflow, LangSmith, LangFuse, PromptLayer, Humanloop, Helicone, Arize Phoenix, • Benchmark and evaluate LLM systems using Ragas, DeepEval and structured evaluation suites. Deployment & Infrastructure • Containerize and deploy workloads with Docker, Kubernetes, KNative and managed inference endpoints., • Optimize model performance with quantization, distillation, caching, batching and routing strategies. EXPERIENCE • Strong Python skills, with experience using Transformers, LangChain, LlamaIndex and the broader GenAI ecosystem and prompt engineering experience., • Deep understanding of LLM behavior, prompt optimization, embeddings, retrieval and data preparation workflows., • Experience with vector DBs (FAISS, Pinecone, Milvus, Weaviate, ChromaDB)., • Hands-on knowledge of Linux, Bash/Powershell, containers and cloud environments., • Strong communication skills, creativity and a systems-thinking mindset., • Curiosity, adaptability and a drive to stay ahead of rapid advancements in GenAI. BENEFICIAL • Experience with PromptOps & LLM Observability tools (PromptLayer, LangFuse, Humanloop, Helicone, LangSmith)., • Understanding of Responsible AI, model safety, bias mitigation, evaluation frameworks and governance., • Background in Computer Science, AI/ML, Engineering, or related fields., • Experience deploying or fine-tuning open-source LLMs. TECH STACK LLMs: GPT-4/5, Claude 3.x, Gemini 2.x, Mistral Large, LLaMA 3, Cohere Command R+, DeepSeek Frameworks: LangChain, LlamaIndex, Haystack, AutoGen, CrewAI Tools: GitHub Copilot, Cursor, LangSmith, LangFuse, Weights & Biases, MLflow, Humanloop Cloud: Azure ML, AWS SageMaker, Google Vertex AI, Databricks, Modal Infra: Python, Docker, Kubernetes, SQL/NoSQL, PyTorch, FastAPI, Redis Staffworx are a UK based Talent & Recruiting Partner, supporting Digital Commerce, Software and Value Add Consulting sectors across the UK & EMEA.

About the role We are looking for an AI Interaction Engineer to lead the development of expressive, emotionally legible robot interactions. This role sits at the intersection of AI, animation, and robotics and focuses on motion, expression, and behavior generation rather than classical task planning or control. This is a high-impact role with significant technical ownership. You will shape both how interactions are built and what expressive capabilities are possible, translating cutting-edge research into robust, real-world systems. What you’ll work on • Lead the design and implementation of AI-based motion and expression generation for robots, • Define interaction architectures that combine motion, timing, and emotional cues, • Translate animation and virtual human research into systems that respect robotic constraints, • Drive technical exploration and prototyping in expressive interaction and embodied AI, • Partner closely with engineers, designers, roboticists, and product engineers to shape interaction quality, • Evaluate, adapt, and integrate state-of-the-art research into production pipelines, • Help set technical direction and best practices for AI-driven interaction work Required experience • Strong experience working with AI / machine learning systems (research and/or applied), • Deep experience in one or more of the following: Human motion generation, Character animation or character control, Emotion recognition or affective computing, Human pose estimation, Virtual humans or embodied AI, • Strong proficiency in Python and modern ML frameworks (e.g. PyTorch), • Proven ability to translate research ideas into working systems, • Track record of technical ownership and independent problem-solving, • Experience working with robots or physically embodied systems, • Background in computer graphics or animation pipelines, • Publications, patents, or open-source contributions in relevant areas, • Experience mentoring other engineers or influencing technical direction, • Familiarity with real-time or production AI systems Education • Master’s or PhD in AI, Computer Science, Robotics, Computer Graphics, or a related field preferred, However strong candidates with proven skill sets are welcome regardless of educational background Why this role matters Interaction quality is a core differentiator for our product. This role directly shapes how users perceive, understand, and emotionally connect with our robots. As a senior hire, you will have outsized influence on both the technical foundations and the expressive capabilities of the Interaction Team. About Engineered Arts Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more. Our Ameca robot is well known as ‘the face of AI’ and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS. We are also exploring how our humanoid robot technology can disrupt other robotics sectors such as the growing cobot sub-segment of the industrial robotics market. We are a team of dedicated engineers and creatives striving to develop the very best experiences for our customers. Our internal motto is ‘Be Wow’, everything we do is fun, entertaining or surprising to encounter. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal. We explore and challenge the human perception of robots as well as the fear and discomfort and the excitement and joy life-like mechanical humanoids present. At Engineered Arts, innovation is at the core of everything we do — and we believe true innovation only happens when diverse minds come together. We are committed to building a workplace where people of all backgrounds, identities, and perspectives feel welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you unique. We actively promote inclusion across our hiring, design, and development practices, and we’re always looking for new ways to reflect the world around us — in our team, our robots, and our ideas. Because building the future means including everyone in it.” We are committed to equal opportunity in employment and comply with all applicable non-discrimination and equal employment laws in the regions where we operate.

As a GPU Software Engineer, you’ll be translating innovative research into high-performance, high-quality GPU compute solutions—playing a key role in delivering next-generation media technology to the market. Hybrid working, 3 days onsite and 2 days working from home. Key Skills & Qualifications: • Degree in Electronics Engineering, Computer Science, or a related field., • Proven experience in video processing or similarly performance-critical applications., • Hands-on experience with Vulkan or other modern GPU APIs., • Strong background in C/C++ development, both in building new systems and enhancing existing ones., • Translate high-level mathematical models and research into production-ready encoder implementations using C++ and GPU compute technologies., • Develop cross-platform solutions for operating systems including Windows, Linux, iOS, and Android., • Enhance, maintain, and expand existing codebases (C/C++/Python)., • Integrate third-party commercial and open-source software components., • Produce clear and well-structured technical documentation, including specifications, APIs, and integration guides., • Support external partners and customers in integrating SDKs., • Test and evaluate complex signal processing code to ensure performance and reliability in production releases., • Manage your own workload with accurate time estimates, effective task prioritisation, and a focus on high-quality design

The Role We are seeking a talented individual to join our Data Science and Development team. The team is responsible for supporting our investment process through the development of analytical tools and research into strategy ideas. The ideal candidate is pragmatic and passionate about the application of data science methodologies to finance and thrives in a small collaborative environment. Responsibilities: · Support the research, development, and maintenance of quantitative and discretionary trading strategies. · Collect, clean, validate, and maintain financial, market, and alternative datasets · Build and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data. · Assist in exploratory data analysis to identify patterns, signals, and anomalies in market data. · Implement research ideas into production-quality code the under guidance of senior team members. · Develop and maintain back testing and performance analysis tools. · Monitor data quality, model outputs, and trading systems; investigate and resolve issues as they arise. · Create tools and dashboards to support portfolio managers, traders, and researchers. · Optimize existing code for reliability, performance, and scalability. · Document code, data processes, and research methodologies to ensure transparency and reproducibility. · Contribute to risk analysis, reporting, and post-trade analytics. · Assist with integrating third-party data vendors, APIs, and execution systems. · Stay current with relevant developments in data science, quantitative finance, and financial markets The ideal candidate: · 2+ years exp in data science, quantitative research, or related discipline · Advanced knowledge of Python, SQL, or other programming languages · Proven experience in conducting quantitative analysis · Knowledge of financial asset classes such as equity, futures, and fixed Income · Attention to detail and strong communication skills · Master’s or PhD degree in a quantitative field such as data science, statistics, computer science or financial engineering · Experience in designing, building and testing systematic signals would be a bonus.