150 jobs found

Senior Data Scientist Salary: £85,000 - £95,000 + Equity Location: Central London (Hybrid - 2-3 days per week in office) We are currently looking for aSenior Data Scientist to join a fast-paced, early-stage AI startup building cutting-edge technology in the mobile app space. Reporting directly to the co-founders, this Lead Data Scientist will play a critical role in shaping the company's core product and driving real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data Scientist will take ownership of a key part of the platform, working closely with the founders to turn complex data into actionable, high-impact solutions. Day-to-day, the Senior Data Scientist will be building models, experimenting with new approaches, and continuously improving performance across customer datasets. You'll be operating in a highly collaborative but autonomous environment where your work directly influences product direction and business outcomes. The Opportunity This is a genuinely high-impact role, where you'll have ownership, visibility, and the chance to shape both the product and the company's future. As a Senior Data Scientist, you will: Design and build advanced machine learning models focused on: User behaviour prediction Churn and propensity modelling Develop a scalable "model factory" capable of generating bespoke models per client Work with complex behavioural event data from mobile applications Collaborate directly with the founders on product and technical direction Continuously experiment, iterate and improve model performance Own a key part of the data science stack end-to-end What makes this different? You're not optimising dashboards, you're building the core product Your work directly impacts client revenue and acquisition strategy You'll operate with real ownership , not layers of process It's a chance to join early and help shape a product What's in it for you? £85,000 - £95,000 base salary Meaningful equity in a high-growth startup Opportunity to work alongside experienced founders High ownership and autonomy from day one Exposure to cutting-edge machine learning challenges Clear progression as the company scales Hybrid working (London-based, 2-3 days in office) Skills and Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment If you would like to be considered for the role and feel you would be an ideal fit with the team, please send your CV by clicking on the Apply button below.

.Alpha Scientific is at the forefront of chemical and microbiological testing, reliably providing organisations with detailed analysis of water and air quality. Now part of the Genuit Groups' Climate Management Solutions (CMS) business unit, Alpha has ambitious growth plans. The Role The Chemistry Laboratory Manager is responsible for the daily operational, technical, financial, and people management operations of the chemistry analytical laboratory. The role ensures full compliance with ISO 17025, customer-specific standards, and all relevant regulatory and health and safety requirements, while driving continuous improvement, productivity and service excellence.The post holder will ensure the laboratory operates with operational flexibility, so capacity aligns with incoming sample volumes to maintain high productivity and market leading turnaround times. This will be driven by: Strong people leadership Process and continuous improvement Change management Service delivery excellence Cost control and commercial awareness Responsibilities The post holder operates with a high degree of autonomy within the framework of ISO 17025, UKAS, H&S, and regulatory standards. Responsible for planning workload, prioritising activities, and providing direct line management and technical guidance to the chemistry team. Regular engagement in management meetings, monthly performance and UKAS and customer audits Daily independent decision-making on operational priorities, staff management, non-conformances and customer complaints Represents the laboratory during customer and accreditation audits. Responsible for maintaining and updating analytical methods and SOPs in collaboration with the Quality Manager. Lead all water chemistry analytical operations, including process water, drinking water, wastewater, surface water, and trade effluent. Ensure full compliance with ISO/IEC 17025, UKAS requirements, and relevant regulatory standards Oversee method validation, verification, and uncertainty of measurement and instrument performance Review, authorise, and release analytical results and certificates of analysis. Assist in the review, improvement, and development of new analytical methods that bring business benefits. Maintain and continuously improve the Quality Management System. Lead internal audits, management reviews and corrective and preventive actions Ensure all customer contractual and regulatory requirements are fully met. Maintain all UKAS accreditations and external approvals. Liaise with statutory bodies, professional organisations, and suppliers. Promote a strong safety culture by applying and enforcing all company H&S policies, COSHH and risk assessments and environmental policies Responsibility for: recruitment, retention, motivation, mentoring, coaching, performance management in line with agreed KPIs Drive a quality-driven service culture. Act as a role model for Genuit Trademark Behaviours Provide technical support to external customers, sales and account management Support the development and optimal use of the Laboratory Information Management System (LIMS). Champion continuous improvements The Person Degree in Chemistry or related discipline Previous laboratory management experience. Strong working knowledge of ISO 17025. Proven experience in chemistry analysis. Excellent communication skills with confidence when dealing with customers, UKAS, and regulatory bodies. Strong leadership and team motivation ability. Financially and IT literate. Demonstrated ability to work to targets and manage expectations. High attention to detail with a strong understanding of laboratory business processes. Act with integrity, professionalism, and accountability. Maintain an open, honest, and approachable management style. The Benefits 25 days holiday Pension contribution matched up to 8% Life Assurance 3x base salary Private health scheme Genuit sharesave schemeHere at the Genuit Group we recognise and develop the contribution our people make to the Group's success and are committed to attracting talent from the widest pool. We have a role to play in making the built environment more sustainable, building a low carbon business ourselves as well as delivering sustainable solutions at scale.We are a team of highly skilled and trained scientists who work from purpose-built, UKAS accredited laboratories in Sittingbourne, Slough and Manchester.

A leading healthcare consulting firm in the United Kingdom seeks a detail-oriented individual with a Master's or doctoral degree for advanced data manipulation and statistical analysis roles. The position requires proficiency in Microsoft Office and statistical software like SPSS, SAS, and R. Candidates should possess over three years of research experience in relevant settings and excellent communication skills. This role provides critical support in program evaluation and data consultation for teams across various initiatives.

About Us At Plentific, we're redefining property management in real time. Our mission, is to lead real estate through the transformative journey into "The World of Now," enabling us to empower property professionals through our innovative, cloud-based platform. We harness cutting-edge technology and data-driven insights to streamline operations for landlords, letting agents, and property managers-enabling them to optimize maintenance, manage repairs, and make informed decisions instantly. Our platform is designed to create seamless, real-time workflows that transform traditional property management into a dynamic, digital experience. Backed by a world-class group of investors-including Noa, Highland Europe, Brookfields, Mubadala, RXR Digital Ventures, and Target Global-Plentific is at the forefront of the proptech revolution. Headquartered in London with a global outlook, we're continually expanding our reach and impact. We're looking for forward thinking, passionate professionals who are ready to contribute to our mission and drive industry innovation. If you're excited about making an immediate impact and shaping the future of property management, explore career opportunities with us at Plentific. The Role As an AI Applied Engineer, you will design, build, and deploy AI powered features and automation tools that transform how our users interact with our platform and improve internal operational efficiency. You'll work across the stack to integrate AI capabilities-such as intelligent assistants, AI agents, and predictive systems-directly into our Python based applications, experimenting with new frameworks and deployment solutions along the way. Your day to day will focus on building real, production grade AI systems that deliver measurable value-whether that's automating property management workflows, creating decision support tools for our teams, or embedding natural language and vision capabilities into our products. You'll collaborate closely with product managers, data scientists, and other engineers, taking AI solutions from concept to scalable production deployment. You'll have the freedom to explore cutting edge tools like FastAPI, PydanticAI, LLM orchestration frameworks, while ensuring solutions are robust, maintainable, and secure. Responsibilities Develop and deploy AI powered features and services in our Python based stack (FastAPI and Django, DRF) and explore new frameworks (e.g. BentoML) for performance and scalability. Build and integrate intelligent automation systems, AI agents, and decision support tools into core product workflows. Implement and optimise LLM based systems, RAG pipelines, and AI agent architectures for complex property management workflows. Work with cross functional teams to gather requirements, define AI use cases, and iterate quickly on prototypes. Integrate complementary AI capabilities-such as voice processing, computer vision, and NLP-into customer facing and internal tools. Ensure all AI applications and models adhere to security best practices, including input validation, secure handling of sensitive data (PII/confidential property information), and protection against prompt injection and other AI specific vulnerabilities. Collaborate with MLOps and platform engineers to ensure models are deployed, monitored, and iterated in production environments. Maintain clear documentation for AI systems, APIs, and workflows. Stay on top of emerging AI frameworks and deployment tools, bringing forward innovative ideas for application. Experience & Qualifications Strong Python development background (5+ years preferred), with solid experience in FastAPI or Django and Django REST Framework. Proven track record of building and deploying AI/ML powered applications in production environments. Proficiency with async and streaming APIs, enabling efficient real time data processing and low latency AI service delivery in microservices (FastAPI, Django, Flask, or similar). Strong understanding of context engineering practices, optimising prompts, memory, and retrieval strategies for LLM based systems. Hands on experience with AI assisted development tools such as Cursor, Claude Code, Codex, and GitHub Copilot, focusing on AI specification driven approaches for technical analysis, code generation, and code review. Hands on experience with AI/ML frameworks (PyTorch, TensorFlow, HuggingFace) and LLM orchestration tools (PydanticAI, LangChain, LangGraph, or similar) Experience deploying ML models using containerised solutions (Docker, Kubernetes) and frameworks like BentoML or equivalent. Familiarity with vector databases and retrieval pipelines for RAG architectures. Knowledge of cloud platforms (AWS, GCP, Azure) and MLOps tooling (MLflow, Kubeflow, or similar). Familiarity with voice to text, IVR, and/or computer vision systems is a plus. Strong understanding of software engineering best practices-testing, CI/CD, version control, code reviews. Excellent problem solving skills and ability to collaborate in cross functional teams. Benefits As you can see, we are quickly progressing with our ambitious plans and are eager to grow our team of doers to achieve our vision of managing over 2 million properties through our platform across various countries. You can help us shape the future of property management across the globe. Here's what we offer: A competitive compensation package 25 days annual holiday + 1 additional day for every year served up to 3 years. Flexible working environment including the option to work abroad Private health care for you and immediate family members with discounted gym membership, optical, dental and private GP Enhanced parental leave Life insurance (4x salary) Employee assistance program Company volunteering day and charity salary sacrifice scheme Learning management system powered by Udemy Referral bonus and charity donation if someone you introduce joins the company Season ticket loan, Cycle to work, Electric vehicle and Techscheme programs Pension scheme Work abroad scheme Company sponsored lunches, dinners and social gatherings Fully stocked kitchen with drinks, snacks, fruit, breakfast cereal etc.

.Alpha Scientific is at the forefront of chemical and microbiological testing, reliably providing organisations with detailed analysis of water and air quality. Now part of the Genuit Groups' Climate Management Solutions (CMS) business unit, Alpha has ambitious growth plans. The Role The Chemistry Laboratory Manager is responsible for the daily operational, technical, financial, and people management operations of the chemistry analytical laboratory. The role ensures full compliance with ISO 17025, customer-specific standards, and all relevant regulatory and health and safety requirements, while driving continuous improvement, productivity and service excellence.The post holder will ensure the laboratory operates with operational flexibility, so capacity aligns with incoming sample volumes to maintain high productivity and market leading turnaround times. This will be driven by: Strong people leadership Process and continuous improvement Change management Service delivery excellence Cost control and commercial awareness Responsibilities The post holder operates with a high degree of autonomy within the framework of ISO 17025, UKAS, H&S, and regulatory standards. Responsible for planning workload, prioritising activities, and providing direct line management and technical guidance to the chemistry team. Regular engagement in management meetings, monthly performance and UKAS and customer audits Daily independent decision-making on operational priorities, staff management, non-conformances and customer complaints Represents the laboratory during customer and accreditation audits. Responsible for maintaining and updating analytical methods and SOPs in collaboration with the Quality Manager. Lead all water chemistry analytical operations, including process water, drinking water, wastewater, surface water, and trade effluent. Ensure full compliance with ISO/IEC 17025, UKAS requirements, and relevant regulatory standards Oversee method validation, verification, and uncertainty of measurement and instrument performance Review, authorise, and release analytical results and certificates of analysis. Assist in the review, improvement, and development of new analytical methods that bring business benefits. Maintain and continuously improve the Quality Management System. Lead internal audits, management reviews and corrective and preventive actions Ensure all customer contractual and regulatory requirements are fully met. Maintain all UKAS accreditations and external approvals. Liaise with statutory bodies, professional organisations, and suppliers. Promote a strong safety culture by applying and enforcing all company H&S policies, COSHH and risk assessments and environmental policies Responsibility for: recruitment, retention, motivation, mentoring, coaching, performance management in line with agreed KPIs Drive a quality-driven service culture. Act as a role model for Genuit Trademark Behaviours Provide technical support to external customers, sales and account management Support the development and optimal use of the Laboratory Information Management System (LIMS). Champion continuous improvements The Person Degree in Chemistry or related discipline Previous laboratory management experience. Strong working knowledge of ISO 17025. Proven experience in chemistry analysis. Excellent communication skills with confidence when dealing with customers, UKAS, and regulatory bodies. Strong leadership and team motivation ability. Financially and IT literate. Demonstrated ability to work to targets and manage expectations. High attention to detail with a strong understanding of laboratory business processes. Act with integrity, professionalism, and accountability. Maintain an open, honest, and approachable management style. The Benefits 25 days holiday Pension contribution matched up to 8% Life Assurance 3x base salary Private health scheme Genuit sharesave schemeHere at the Genuit Group we recognise and develop the contribution our people make to the Group's success and are committed to attracting talent from the widest pool. We have a role to play in making the built environment more sustainable, building a low carbon business ourselves as well as delivering sustainable solutions at scale.We are a team of highly skilled and trained scientists who work from purpose-built, UKAS accredited laboratories in Sittingbourne, Slough and Manchester.

Alumni Marketing and Communications Manager £57,785 to £69,365 per annum White City / Hybrid (London Campuses) About the role: Are you an ambitious communicator who can energise a global community and help drive one of the UK's largest and most ambitious fundraising and engagement campaigns? Imperial College London is seeking an Alumni Marketing and Communications Manager to join the Alumni Engagement team at a pivotal moment. With more than 270,000 alumni worldwide, Imperial's community is an extraordinary network of scientists, engineers, medics, entrepreneurs and industry leaders whose connection with the university is central to our long term success. As Imperial prepares to publicly launch a major, decadelong campaign inspired by our strategy, Science for Humanity, we are looking for a strategic, creative communicator to help shape how alumni engage with Imperial's mission for the next ten years. This is your opportunity to set the tone, craft the narrative, and build campaigns that will galvanise alumni around Imperial's bold vision for global impact. What you would be doing: Reporting to the Director of Alumni Engagement and working closely with the Head of Campaign Proposition and Communications, you will lead the strategic development and delivery of a comprehensive, multichannel marketing and communications programme that strengthens alumni relationships and deepens their engagement with Imperial. In this role, you will: Shape and deliver the alumni communications strategy, aligned to both Alumni Engagement priorities and the wider Advancement campaign strategy. Build audience insight and segmentation approaches that inform more targeted, impactful engagement journeys. Oversee a complex, year round communications portfolio, including up to 100 email communications monthly, our digital channels, the alumni website, and printed publications. Lead high impact campaigns that support volunteering, engagement, and giving, and amplify major institutional initiatives. This role sits at the heart of our engagement strategy and offers a rare opportunity to influence Imperial's relationship with its global alumni. What we are looking for: You'll succeed in this role if you bring: A strong track record of developing and delivering integrated marketing and communications strategies, ideally within complex organisations. Experience managing large scale communications schedules and multichannel campaigns. Fluency in digital communications, email marketing platforms, CMS tools, and emerging media. Confidence in using data and CRM systems to generate insight and support segmentation. Outstanding copywriting, editing and editorial judgement across digital and print. The ability to build excellent relationships, influence widely, and collaborate across teams and departments. Strong project management skills and the ability to thrive in a fast paced, campaign driven environment. Experience commissioning and managing creative assets (design, print, video). A proactive, innovative mindset and the confidence to set direction and drive new ideas. What we can offer you: A unique opportunity to define how Imperial communicates with its global alumni during a transformational, decadelong campaign. The chance to contribute directly to Imperial's mission to tackle the world's most urgent challenges. A sector leading salary and benefits package. A collaborative, forward thinking team committed to excellence, innovation and impact. Further Information If you are a strategic thinker with a passion for community building, we want to hear from you. Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. Closing date: 14 April 2026 About Imperial Welcome to Imperial, a global top ten university where scientific imagination leads to world changing impact. Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world's toughest challenges. Whatever your role, your contribution will have a lasting impact. As a member of our vibrant community of 22,000 students and 8,000 staff, you'll collaborate with passionate minds across nine London campuses and a global network. This is your chance to help shape the future. We hope you'll join us at Imperial College London. Our Culture We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages. Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity and innovation.

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where ,Health for all, Hunger for none' is no longer a dream, but a real possibility. We're doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining 'impossible'. There are so many reasons to join us. If you're hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there's only one choice. Bayer is an organisation where decisions are made together and where innovation cycles are in 90 days sprints. Our operating model (Dynamic Shared Ownership (we call it DSO) is a reimagined way of operating a multinational company which moves at speed and scale with the goal of delivering on our vision. Being part of means that you are part of our vision and of our future - delivering to our farmers, patients, and consumers. Senior Benefit Risk Management (BRM) Lead /Oncology you are responsible for leading and close collaborating with product teams of Global Safety Leaders (GSLs) and other PV BRM experts. Ensuring patient safety for Bayer's oncology product portfolio throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing, routine and submission PV activities) and compliance with health authority pharmacovigilance (PV) regulations around the globe through the effective and timely completion of PV assessment activities. This is a senior clinical scientist position with deep expertise in key topics in; Pharmacovigilance (e.g. drug-induced liver injury (DILI), reproductive toxicity, quantitative signal detection etc.) Oncology drug development and clinical medicine, including methods to assess and communicate benefit risk balance, manage and mitigate risk to patients and optimize the safe use of pharma products in clinical practice KEY WORKING RELATIONS Leadership level interface with Global Project Management, Drug Development, Clinical Sciences, Clinical Development, Medical Affairs, Regulatory Affairs and Business Development. Direct presentations or oversight of presentations to governance committees such as GSC, GLC and other senior management committees. Representation where needed with health authorities and external scientific bodies. YOUR TASKS AND RESPONISIBILITIES Leading product groups responsible for ongoing BRM and/or leading BRM activities for products of strategic importance by providing in-depth assessment of complex safety and benefit-risk topics based on an in-depth knowledge of oncology clinical development, evidence-based medicine, key pharmacovigilance topics (e.g. DILI), quantitative signal detection and the wide range of ways to assess, communicate and manage the benefit-risk balance. Responsible for the effective performance for the product/product group of clinical signal detection, evaluation and benefit risk management including: Monitor and manage the benefit risk profile of assigned product/product group in an ongoing fashion by leading cross functional Safety Management and Benefit-Risk Management teams and implementation of state-of-the art strategies to proactively monitor and assess the benefit-risk balance. Identify, prioritize and analyze clinical safety signals. Lead the patient benefit risk management processes through Safety Management Teams Ensure appropriate clinical safety risk communication and escalation within Bayer Pharma to PV Management and QPPV and committees including SRC, GSC, PET and GLC. Produce high quality aggregate reports and responses to regulatory queries. Ensure adequate labeling of safety related information. Work with the Systems and Operations teams to develop and continuously maintain and improve effective systems to ensure single cases (inc PTCs and other relevant reports) are of submission quality and fulfill the requirements for signal detection and aggregate report compilation. Provide the strategic leadership for the product/product group. Provide high quality and consistent input to development teams and product teams to support clinical development and life cycle management . Plan and deploy skilled resources against project priorities. Contribute to development of budget and work within those allocated constraints throughout the fiscal cycle. On boarding, training and development within the product/product group. Maintain an environment of continuous improvement within the team and contribute to continuous improvement initiatives across PV. Support the strategic goals of PV: Support the PV Leadership Team in strategic decision making. Support and lead process improvement and implementation across BPH. Work collaboratively to ensure consistency of approach across Therapeutic Groups Maintain effective business relationships to other Bayer Pharma functions to support the implementation of BPH clinical safety standards. WHO YOU ARE MD degree or equivalent (eg, DO or MB) 10+ years in the Pharmaceutical, Lifesciences or Healthcare industry 5+ years of pharmacovigilance experience with focus on oncology throughout the product lifecycle (pre-clinical to Phase 4 and post-marketing) Significant experience in conducting routine safety surveillance throughout the product life cycle, signal monitoring and detection, development of aggregate safety reports; preparation of submission related documents, including 2.7.4 and 2.5, RMPs, CCDS/labels; safety related regulatory interactions; responses to regulatory queries; assessment of the overall benefit risk profile throughout the product lifecycle Strong experience and direct interactions with Major Regulatory agencies Ability to interact with expert consultants and Key Opinion Leaders Knowledge of relevant concepts in oncology drug development, epidemiology, statistics and evidence-based medicine Proven history of effective leadership within a matrix organization Experience with the PV toolbox regarding databases/ other IT/Coding systems etc. Excellent knowledge of pharmacovigilance relevant regulations. Proven evidence of effective delivery of high-quality safety relevant documents Knowledge of relevant concepts in data management and systems, pharmacoepidemiology and statistics Effective Communicator and ability to communicate complex issues in an understandable, effective and relevant manner. Effectively communicate in written and spoken English. Strong influencing skills with the ability to explain and defend a position in the face of opposition. Effective team member. Takes ownership of appropriate issues and appropriately delegates. Team orientated, recognizing the value of and utilizing diversity. Strategic focus to activities and planning, with proactive planning and prioritization skills. Effectively applies processes across assigned team. Technical expertise in pharmacovigilance and clinical safety. Excellent analytical and problem-solving skills. Provide effective and relevant review of complex documents. Knowledge of relevant legislations and guidelines. WHAT BAYER OFFERS YOU Salary between £110K - £130K pa depending on experience.Salary reviews take place annually in April. Annual company bonus Individual bonus can also be granted for top Talent Impact Long Term Incentive Bonus 28 days annual leave, plus bank holidays and volunteering days Life Insurance Wellness programs and support Flexible and Hybrid working Support with home office equipment Support for professional growth in a wide range of learning and development opportunities INTERESTED IN THIS POSITION? Are you looking for a new challenge? Apply online by sending us your resume and cover letter. Do you have a question or do you want to learn more about the position? You can always contact Sandra de Klerk via Application Period:5th Undefined Reference Code: 858206 Division: Pharmaceuticals Location: United Kingdom : Berkshire : Reading Functional Area: Medical Affairs & Pharmacovigilance Position Grade: VS 3 Employment Type: Regular Work Time: Full Time

A dynamic data-driven company in the UK is seeking a Senior Data Scientist to design and implement customer-facing ML/AI features. This role involves using SQL and Python to analyze data, prototyping ideas, and collaborating with teams to transform raw data into product features. The ideal candidate should have over 5 years of experience in data science and a strong product-oriented mindset. You'll work in a remote-first environment, having real ownership over the product's development and impact.

Hiring: Lead Data Scientist (Contract) - Osterley, UK Are you passionate about transforming sports data into intelligent, real-time insights ? We're looking for a Lead Data Scientist to drive cutting-edge AI innovation in one of the most exciting domains- live sports analytics . Location: Osterley, UK Type: Contract Experience: Lead / Senior Level What You'll Do Lead end-to-end development of AI solutions leveraging Computer Vision, Machine Learning, Generative AI , and advanced data science. Build systems that automatically generate sports metadata and detect key moments in live matches and streams . Design models that deliver player performance insights, contextual statistics, and injury risk predictions -all grounded in ethical and responsible AI . Power personalisation engines with model-driven insights tailored to fans' favourite teams, players, and match context. Own A/B testing, experimentation frameworks, metrics, and dashboards to drive data-backed decisions. Establish and scale MLOps practices including CI/CD, model monitoring, drift detection, and automated retraining. Architect and deploy low-latency, cloud-based AI systems built for real-time sports environments at scale . What You Bring Proven experience leading sports data-driven ML systems , with strong ownership of technical direction and delivery. Deep expertise in sports datasets (event data, tracking data, or similar high-volume streams). Strong command of multi-modal data (numerical, spatial, video, metadata) and Generative AI techniques . Advanced Python skills with hands-on experience in PyTorch, TensorFlow , or similar frameworks. Solid experience in end-to-end MLOps , including production deployment and lifecycle management. Demonstrated leadership-mentoring teams and thriving in fast-paced, evolving environments . Experience designing scalable, real-time or near real-time systems for live data processing. Excellent communication skills-able to translate complex AI strategies into business impact . Why Join? Work at the forefront of AI + Sports innovation Build solutions used in live, high-impact environments Collaborate with cross-functional teams and senior stakeholders Shape the future of fan engagement and sports intelligence Ready to make an impact in the world of sports and AI? Apply now or reach out to learn more!

Location: London or Gloucestershire Overview We're looking for a Senior Machine Learning Engineer to join a supportive, multidisciplinary team developing AI/ML systems to solve critical National Security challenges. As a Senior Machine Learning Engineer, you'll lead onsite engagements with clients and stakeholders to translate their problems into robust, production-ready machine learning solutions. You'll rapidly explore, prototype, and deploy ML approaches both within and beyond our core capability offerings, taking ownership from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against Defence and National Security threats, directly contributing to safer, more resilient systems deployed where they matter most. Mind Foundry works on some of the most complex and urgent challenges in Defence and National Security. We specialise in supporting customers across the community to make sense at the speed of relevance from the ever-increasing volumes of data collected by sensors and systems. We often find ourselves working at the edge in complex environments where power, compute, and bandwidth are in short supply. The work is challenging, the customer needs products and applications they can trust, and the sense of achievement is therefore substantial. This is an opportunity to innovate at the forefront of applied machine learning, tackle high-impact real-world problems, grow your technical skills, and shape the way AI/ML solutions are delivered to critical operational environments. Because of the nature of this work: You will need to hold existing or be eligible for UK Developed Vetting (DV), details of which can be found on the Gov UK website. Be expected to work primarily on our clients' sites in London or Gloucestershire, please consider your commute when applying. Key day-to-day activities Lead technical scoping and make key architectural decisions to enable delivery of professional-level ML solutions. Design and build prototypes and robust, production-ready ML solutions. Work collaboratively with colleagues across the team (Product Managers, Machine Learning Scientists, Software Engineers) to solve critical National Security challenges. Maintain and develop a strong working knowledge of state-of-the-art ML methods, software tools and implementation methods. Write maintainable production code and promote best practices for code quality in a scientific codebase. Mentor and develop junior Machine Learning Engineers. Provide advice and explain core ML concepts to our customers and partners. Provide training to our customers and partners on Mind Foundry products and solutions. Core kills & Experience • A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Strong engineer with demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well-tested, and well-documented code suitable for long-term ownership and handover. Hands-on experience with production infrastructure, including Docker, Linux, CI/CD, MLOps, cloud platforms, and model serving architectures. Be able to work with state-of-the-art ML libraries to deliver powerful results quickly. Exceptional problem-solving skills and comfortable working in ambiguous, fast-moving environments, embedded with customers or delivery teams. Hold existing Developed Vetting (DV) level clearance, or willing and eligible to obtain and maintain UK security clearance to Developed Vetting (DV) level. Nice to Have Prior experience working with government customers, defence contractors, or in military environments. Ability to write technical material (documentation, published papers, internal technical notes etc). Experience with Natural Language Processing (NLP), Large Language Models (LLMs) or Image Processing. Experience in areas of model development, data processing and streaming (Spark, Kafka), microservices in python (Flask or FastAPI), and interactive visualisations and User Interfaces (Streamlit, Plotly, Gradio etc). While we think the above experience is important, we're keen to hear from people that believe they have valuable skills, ideas, or perspectives that will make an impact in this role. If our team and mission resonate with you, but you do not necessarily meet all our requirements, we still encourage you to apply. What do we offer? We believe in investing in our people by encouraging career and personal development that aligns with your goals and ambitions. We make sure all staff have the tools, time and support they need to shape their own professional development. We want to help you excel at what you do and support your growth within the company. You'll enjoy a competitive compensation package and great benefits such as: 25 days of annual leave plus Bank Holidays Salary Sacrifice Pension scheme with a 5% employer contribution (minimum 5% employee contribution) Private Healthcare (including dental and optical cover) Group Life Cover at x3 your annual salary once you pass your probation period Enhanced Paid Parental and Sickness Leave Workplace Nursery Scheme Pet friendly office Professional and personal development For more information, please visit our website or email Interview Process Initialdiscussion with the People team TestDome coding exercise 1 hour interview with two members of the Science & Engineering Team 1 hour technical interview, including a 10-minute presentation and live coding exercise In person meet the team at our Summertown, Oxford office Company Mind Foundry Qualifications Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, Natural Language Processing, NLP, United Kingdom

the ambitious goal of building the data, AI and software infrastructure for the future of manufacturing working at the crossover of software and hardware (we are truly full stack and often are in factories) designing efficient architectures to handle large amounts of data and 10,000s of connected machines (working on everything from embedded systems and edge compute, to cloud deployments) delivering real impact on how we manufacture the world around us About Matta Matta is creating industrial AI for factories. We are a group of engineers, scientists, and company builders developing manufacturing foundation models (MFMs) and a general-purpose manufacturing OS to improve the sustainability of manufacturing today and to unlock the unimaginable technologies of tomorrow. What we actually do: Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-before materials autonomously). Research new foundational models for manufacturing enabling users to install vision-based inspection and quality control AIs in less than 24 hours! (for context the industry standard is about 6 months). Think really hard about how manufacturing will look in 10+ years and build a brand-new intuitive OS and interfaces for orchestrating factories, monitoring machines, controlling production, etc. all with AI. For context, we are a small dynamic team from Google X, Microsoft, Cambridge, MIT, Imperial, BBC R&D to name a few. We work a lot and are all close friends - come join the family! We're looking for a Backend Engineer to help design, build, and scale our manufacturing OS. You'll work directly on our FastAPI-based backend with the challenging task of designing highly scalable system architectures to handles 1000s of real-time data streams across 100s of manufacturing processes. What makes this especially challenging is generalising across different use cases and customer environments. We need to be super flexible without compromising on performance and code sanity - from beer bottle factories to aerospace components. You'll juggle back and forth between: 1) creating API endpoints for our edge devices, 2) improving the efficiency of database queries, 3) integrating new features in our frontend dashboard 4) plus more. This isn't your typical dev gig - expect to work hard and collaborate with an exceptional team of top engineers, scientists, and builders, all obsessed with embodied AI reshaping the manufacturing world. About You A backend behemoth: You write clean, scalable, high-performance backend code. You take pride in your craft. Bonus points for familiarity or mastery with our tech stack: FastAPI and pydantic, postgres, sqlalchemy, etc. Happy with (or ready to learn about) all the usual add ons like Redis, Celery, New Relic, Sentry; and deploying to production with good CI/CD/testing/logging practices. You've led projects from start to finish, overcoming hurdles and shipping brilliant products (in startups? even better) and you are a bit batty and want to learn more! People person: you love working in teams, sharing knowledge, mentoring/teaching others, and embracing feedback (and yes, you're always game for a team Lego building break). You're adaptable and thrive in dynamic environments where every day brings new challenges. Probably have a master's in engineering / computer science / maths or related field. Ideally 3+ years of industry experience. Above all, we are looking to build a team of creative, outside of the box thinking problem solvers. For this, candidates should be: Capable of setting and reaching ambitious goals, and taking a project from concept to completion. Self directed, self organised, proactive, and comfortable in a dynamic, multi disciplinary work environment. Team players with excellent communication and interpersonal skills. Enthusiastic tea or coffee drinkers who enjoy a good biscuit or two and a good slice of cake (this is the most important criteria). What will impress us Being proactive. Building or sending us example AI or data related projects - even better if related to the role. Whether you're a chess grandmaster, a world champion at tiddlywinks, or a badass musician, we'd love to see the hobbies, skills, or activities you take to the next level - we're always impressed by those who go all in! Clear passion in our mission, not a random reason to work with us. Matta is an equal opportunity employer and encourages individuals from all backgrounds to apply. We offer competitive compensation, the friendliest of teams, an insanely stimulating work environment, and the opportunity to be a part of something massive. Location Our London office, 5 minutes from Old Street Station. Think vibrant startup attic vibes with a team that knows when to laugh and when to focus. Contact us Office address 77 East Road, London, N1 6AH, UK

At Precis, we are a group of friendly experts in media buying, analytics & marketing science, creative and technology with a joint mission to help great companies thrive in the digital landscape. Are you curious to learn more about us? Read more about us here. For insights into what life is like at Precis and a peek at the perks of working with us, visit this page. In our Handbook, you can get a neat summary of who we are, our culture and our offices. The Data Scientist serves as a foundational position for professionals building their expertise in data science, applying analytical skills to contribute to project outcomes under the guidance of more experienced colleagues. This role is centered around honing technical abilities in data handling, modeling, and analysis, while also learning to translate data insights into actionable business recommendations. In contrast to the more senior data science roles, the Data Scientist is characterized by a focus on growth and development, contributing to projects with support, and playing a key role in the collaborative efforts of the data science team to deliver on project objectives and gain valuable experience in the field. WHAT YOU WILL BE DOING Support the development of machine learning models and statistical algorithms to address marketing and business challenges, emphasizing interpretability, adaptability to market changes, and business-driven performance metrics. Contribute to rapid prototyping, large-scale data analysis, and solution deployment in collaboration with senior team members to enable informed decision-making and maintain competitive advantage. Work closely with cross-functional teams (product, engineering, and business stakeholders) to understand needs, translate analytical concepts into actionable marketing strategies, and deliver insights applicable across departments. Help build and maintain strong client relationships by understanding their marketing and business challenges, contributing to relevant, data-driven strategies that support client retention and growth. Apply industry best practices in data analysis, feature engineering, and model development while continuously learning and integrating new data science and marketing analytics technologies under mentorship. Promote innovation and collaboration within a dynamic team environment, proactively developing technical and marketing expertise, and supporting ethical data practices, regulatory compliance, and transparency in data usage and model deployment. WHAT WE ARE LOOKING FOR ️ 2-4 years of experience extracting actionable insights from complex datasets and presenting findings clearly and accessibly, connecting data science work to business objectives and marketing impact. Strong technical proficiency in Python and SQL for data manipulation, cleaning, transformation, and visualization (e.g., pandas, matplotlib, plotly), with a solid understanding of machine learning and statistical methods applied to business problems. Familiarity with cloud environments such as GCP, including BigQuery, serverless solutions, and foundational machine learning tools. Proactive, solution-oriented mindset with strong problem-solving, communication, and stakeholder engagement skills, ensuring timely delivery and alignment with project and business needs. Excellent communication in English. WHAT WE OFFER An intense learning environment where you will be able to grow and develop your skills and passions alongside some of the brightest minds in the industry. A culture that is built on collaboration, trust and innovation. We value having fun together - that's why we also have regular afterworks, team events and a yearly festival. Transparent salary setting, you can find all our salary bands in our handbook. This role is a L2 role within the Marketing Science column. Check it out! 30 days paid leave, flexible public holidays, parental pay, a solid pension scheme and key insurance. Our different offices also offer different perks such as massage, health care contributions, free book orders, healthy snacks & great coffee, EAP programs and your choice of PC or Mac. A diverse environment with a high focus on inclusion and belonging. We speak 46 native languages around Precis, and our internal inclusion score is 4.5 out of 5. Please send your application in English. We are committed to building an inclusive and fair workplace that attracts talent and advances its people, regardless of their background, experiences or perspectives. We believe that a diverse set of minds will continue to contribute to our innovative culture and our ability to reinvent ourselves constantly. We update all candidates on their applications by email. If you don't receive an email from us, please check your spam folder.

A leading digital marketing agency in the United Kingdom is seeking a Data Scientist to support the development of machine learning models and contribute to data-driven marketing strategies. The position requires 2-4 years of experience in data analysis, strong skills in Python and SQL, and a proactive approach to problem-solving. This role offers a collaborative environment with opportunities for growth and development, as well as a range of employee perks including flexible working hours and a supportive culture.

Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production grade data solutions. Typical engagements include: Engineering large scale data ingestion and processing pipelines Designing data lakes and distributed data platforms Enabling analytics and AI/ML workloads Supporting intelligence data exploitation workflows Integrating multiple classified data sources across secure environments Job Responsibilities Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems. Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use. Build scalable, distributed data processing solutions using modern big data and parallel processing technologies. Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms. Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes. Optimise data storage and processing architectures to support high performance analytical environments. Contribute to DevSecOps and cloud native delivery, including automated deployment, infrastructure provisioning and containerised environments. Support the ongoing operation, observability and resilience of production data platforms. Skills Required Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL. Hands on experience building and operating large scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop). Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools. Experience working with cloud native data platforms, with strong expertise in AWS and native data services. Familiarity with Infrastructure as Code and modern cloud native data architectures. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling. Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions. Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you:Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance:We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus:Up to £5,000 year Career growth that keeps you ahead:We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you:Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses. Life Assurance:Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning:Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox:Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts:Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved:Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.

Join the Growth Story at Envitia Envitia operates at the heart of the UK's most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure by design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We're thrilled to announce that Envitia has been named one of Sunday Times Top 100 Medium Sized Companies to Work For in 2025-a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Java Engineer to join our Security and Intelligence consulting team and will be responsible for designing, developing and maintaining secure software services and mission applications within classified government environments. The role focuses on building high-performance backend systems, microservices and APIs that enable intelligence data platforms, analytics systems and operational applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data engineers, data scientists, DevOps engineers and mission analysts to deliver secure, production grade software systems. Typical engagements include: Developing Java based microservices and backend platforms Building API driven services enabling data exploitation and analytics Supporting distributed analytics platforms and intelligence applications Integrating software components across complex secure environments Delivering cloud native and containerised mission software systems Job Responsibilities Design, develop and maintain secure Java based backend services supporting mission critical and operational systems. Build scalable microservices architectures and robust RESTful APIs to support data driven and intelligence platforms. Engineer high performance, distributed applications capable of processing large volumes of data with low latency and high reliability. Integrate Java applications with data platforms, streaming services and analytics pipelines, including AI/ML enabled systems. Apply secure coding practices and ensure solutions meet stringent performance, reliability and security requirements. Contribute to architectural design, code reviews, automated testing and continuous improvement activities. Implement logging, monitoring and observability to support the operation of production systems. Collaborate closely with multi disciplinary teams including engineers, data specialists and operational stakeholders. Skills Required Strong experience developing Java based backend applications (Java 11+) using modern frameworks such as Spring Boot / Spring Framework. Solid understanding of object oriented design, software architecture and building RESTful APIs. Experience designing and developing distributed systems and microservices architectures, including service to service communication and API integration patterns. Proven ability to build high performance, scalable backend systems for data intensive or mission critical applications. Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, automated testing and observability tooling. Ability to work directly with stakeholders to understand requirements and translate them into robust, secure and scalable software solutions. Strong collaboration and communication skills, with the ability to explain technical concepts to both technical and non technical audiences. Comfortable working in secure or regulated environments, delivering software within complex operational constraints. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations - Gloucester, London, Manchester (based on project requirements). What's in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well being. More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most. Private Medical Insurance: We've got you covered with comprehensive private healthcare, including family options for added peace of mind. Security Clearance Bonus: Up to £5,000 a year Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you're always learning, growing and staying ahead of the curve. Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness related expenses. Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present. Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation. Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services. Recognition that counts: Great work doesn't go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine. Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work life balance. If you require any accommodations during the application or interview process, please let us know.

About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. Key Tasks Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. Analysis of in-house wet lab experiments with the purpose to generate proprietary methods and data for our models. Multi-omic bioinformatics pipeline development. Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology. Expected Growth In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc Nextflow or Flyte workflow to massively process your data. In 3 months you have integrated your research into our AI models. In 6 months your pipelines run in automated production feeding daily AI model training. You're co-designing experiments with AI/ML engineers and lab scientists and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data as well as top tier publications and / or patents. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal Experience Commercial experience generating insights from biological data (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq). Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs, including but not limited to NextFlow, Seqera. Strong working knowledge with cloud computing environments, including but not limited to AWS. Familiar with data wrangling, engineering, analysis, and visualisation libraries using Python or Julia, Spark, Hadoop, NoSQL. Application of artificial intelligence approaches and experience applying them to a biological context. Top tier publications. Patent experience. Location Based onsite in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight Prima Mente is a place where great people get to tackle great challenges together. We're innately curious, fundamentally hands on and passionate about excellence. Together we build an environment where outstanding communication, scientific rigour and creative innovation come together to effect impact at pace. Come build the world's frontier AI biology lab with us. We arrange our lives so we can work in person as much as possible.