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Our dedicated Data Science team is at the forefront of revolutionizing pharma intelligence and how patients gain access to life-saving therapies. Armed with cutting-edge technology and a passion for innovation, we leverage the vast landscape of data to extract actionable insights that drive informed decision making Our unique collaborative approach fosters a dynamic synergy between data science, product development, pharmaceutical industry experts, and engineering. Our deep expertise in artificial intelligence, machine learning, and advanced statistical modelling, combined with our domain knowledge, enables us to deliver comprehensive solutions that empower our clients to stay ahead in a rapidly evolving industry. We have delivered multiple products live to customers, with many more in development. Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI / ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI / ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication and stakeholder management skills, ability to independently own and execute a project holistically at a high level Experience mentoring junior team members Preferred Requirements: Deep expertise in engineering agentic AI systems Knowledge of the healthcare / pharma domain and experience applying AI to healthcare data Experience with AWS, especially ECS, Bedrock, SageMaker, serverless compute and storage Ability to prototype PoC webapps with familiarity across the full stack Expert usage of AI coding tools and workflows

AI Engineer Programme – Job Support Included Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10–14 week online programme with approximately 10–15 hours of study per week. You’ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. Starting salaries: £35,000 – £45,000+ Who This Is For Beginner-friendly and suitable for career changers. No prior AI experience required. UK-based learners only. Apply now. Limited spaces available.

We are looking for a Technical Product Manager to join the API team, driving the product direction. This is a highly technical role, the ideal candidate will have worked in a technical role previously moving in to Product or have a passion for development and understand the structure of API's. Who We Are Creditsafe is the world’s most used provider of business credit reports with coverage of more than 430 million businesses worldwide. We deliver actionable intelligence powered by machine learning, AI, and connected data to help companies grow, thrive, and identify opportunities. Founded in 1997, we have offices in 16 countries serving more than 110,000 customers. About The Role We are seeking a Product Manager to own the strategy and roadmap for our flagship Connect API. You will own the roadmap to develop our APIs and will need to make important prioritisation decisions to meet current and future customer needs (including readiness for AI agents and LLM-based consumption). Key to the role will be working with the API Architect and development team to ensure we are building the right thing at the right time. You will work closely with engineering, product, marketing, sales and support teams and customers across the globe to ensure smooth product development, go-to-market and day-to-day customer experience. Key Responsibilities • Champion the customer perspective, gathering feedback to inform API product decisions., • Own and prioritize the product roadmap to maximize business value and reduce delivery friction., • Partner with the API Architect to provide a clear, evolving product vision to align API development with customer and market needs., • Manage the development backlog, translating requirements into actionable user stories., • Collaborate across product, engineering, sales, and leadership to align priorities., • Ensure releases deliver customer value and are supported by effective go-to-market activities., • Develop deep expertise in your product area and support knowledge sharing., • Work with marketing to create go-to-market collateral and enablement materials., • Drive API-first thinking across the wider product portfolio to prevent rework and architectural drift., • Own API lifecycle management — versioning strategy, deprecation policy, and legacy endpoint retirement., • Oversee how new product capabilities are exposed through the API surface. Skills & Experience • Proven experience as an API product manager, • Track record delivering REST APIs and executing strategic roadmaps, • Strong verbal and written communication skills, adaptable to different audiences, • Understanding of Agile/Scrum product development practices, • Ability to align and influence multiple stakeholders, • Expertise in translating customer needs into clear product requirements and user stories (covering both functional and non-functional aspects), • Outcome-oriented mindset with innovative problem-solving abilities, • Critical thinking with the ability to identify root causes, evaluate alternatives, and make sound decisions with incomplete information, • Encourages healthy debate and curiosity within teams to reach optimal solutions, • Experience migrating customers from legacy APIs, • Passion for technology and data-driven business decisions, • Bachelor’s degree or equivalent experience, • Oversee how new product capabilities are exposed through the API surface., • API design fluency. REST principles, OpenAPI/Swagger, pagination, auth patterns, error handling, • API observability including usage analytics, rate limiting, deprecation telemetry Benefits • Competitive Salary., • Company Laptop supplied., • Bonus Scheme., • 25 Days Annual Leave (plus bank holidays)., • Hybrid working model., • Healthcare & Company Pension., • Cycle to work and Wellbeing Programme., • Global Company gatherings and events., • E-learning and excellent career progression opportunities., • Plus more that can be found on the benefits section on the Careers page, https://careers.creditsafe.com/gb.

Job Title: Data Scientist Location: Cardiff Salary/Rate: £500 - 560 per day inside IR35 Start Date: June Job Type: Initial 12 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions. Job Responsibilities/Objectives This role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environments. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. Required Skills/Experience The ideal candidate will have the following: Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers. Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Have good understanding of statistical methods applied to data analysis. Have user experience of Cloud capabilities, preferred Databricks. Have user experience of coding languages for data science and machine learning (e.g. Python, R). Have good written communication skills, including the ability to describe statistical results to non-statistical audiences. Experience processing large data sets and matching/merging multiple data sets. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.

Trainee Data Scientist - No Experience RequiredAre you looking to kick-start a new career as a Data Scientist?We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee (£25K-£45K) within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Vis...

AI Engineer Placement Programme no experience needed From £45,000 to £75,000 per annum AI Trainee Engineer £45,000£75,000 Job Programme This is a self-funded programme that leads to employment, fees apply. Job GuaranteeComplete the programme and get a job, or get your course fees back. Location:UK Wide (Remote Opportunities Available) Looking to start a career in AI Engineering? We are offering a structured pathway into AI Engineering, designed to help you enter one of the fastest-growing sectors in tech with no prior experience. This opportunity includes training, support, and access to our specialised recruitment support for job roles across the UK. No prior experience required. Train online at your own pace and become job-ready in as little as afew weeks. Our programme includes: • Official AWS Certified Cloud Practitioner certification, • Training in Python, Machine Learning, and AI systems, • Hands-on projects using real-world AI tools and technologies, • Professional CV and LinkedIn support, • Interview preparation, • Dedicated recruitment support until placed, • Personalised 1-1 tutor support, • Hands-on projects to build your AI portfolio Flexible, affordable, achi...

OpsArmy is seeking a detail-oriented Data Labeling Specialist for remote work, focusing on audio transcription and machine learning. Responsibilities include labeling and annotating audio and data while ensuring accuracy and consistency.

Monzo is looking for a Lead Machine Learning Scientist to enhance customer experiences by developing advanced Machine Learning models.You will dive deep into billions of data rows, ensuring personalization in banking services.Collaborating closely with a cross-functional team, your leadership and te

LegalAndGeneral in Cardiff is hiring an AI Engineer to join a collaborative team focused on developing and maintaining AI solutions. Your role involves designing production-ready machine learning applications on Azure, working with Python, and contributing to CI/CD practices.

As a technical Machine Learning expert, working with billions of rows of data stored on a modern cloud native data platform, we’ll be expecting you to leverage your deep experience of developing and deploying advanced Machine Learning models. Leading the design and development of advanced real‑t

Training program for AI Engineer with job guarantee, covering Python, machine learning, and Azure AI fundamentals.

Online part-time training program for beginners to become AI Engineers, covering Python, machine learning, and data handling, with job support included.

The Machine Learning Engineer will deploy, maintain, and optimize ML systems in a remote gaming and entertainment business, collaborating with data scientists and engineers.

Data Scientist | Cardiff / Hybrid | Engineering | AI & Predictive Analytics We're supporting a growing engineering business looking to hire a Data Scientist to help develop scalable ML and AI solutions across compliance, risk and contractor analytics platforms. You'll work closely with AI Engineers, Data Engineers and DevOps teams to build and deploy predictive models and LLM-powered solutions in production environments across AWS and Azure. The Role This is a hands-on opportunity to work on modern AI and machine learning initiatives that directly support operational performance, compliance and risk management. You'll be involved in the full model lifecycle from data ingestion and feature engineering through to deployment, optimisation and monitoring. Key Responsibilities Develop machine learning models for risk scoring, churn prediction and contractor analytics Build LLM and NLP solutions for automated compliance checks and insight generation Deploy AI and ML models into cloud-based production environments Work with Microsoft Fabric for data ingestion, transformation and feature engineering Improve model monitoring, retraining and optimisation processes Collaborate closely with engineering and product teams in agile delivery squads Communicate technical solutions clearly to non-technical stakeholders Contribute to best practices around coding standards, maintainability and AI-assisted development Tech Stack Python, SQL, TensorFlow, PyTorch, AWS, Azure, Microsoft Fabric, NLP, LLMs, MLOps What We're Looking For Strong commercial Data Science experience Experience building and deploying ML models into production Strong understanding of predictive modelling, NLP and LLM architectures Cloud experience with AWS and/or Azure Experience with Python, SQL and modern ML frameworks Strong communication and stakeholder management skills Ability to work collaboratively in agile engineering teams Desirable Experience Risk modelling or compliance analytics Supply chain or operational analytics MLOps and CI/CD pipelines Data governance or regulatory environments Why Apply? You'll join a collaborative engineering environment working on genuinely impactful AI projects with modern tooling and cloud technologies. This is an opportunity to help shape the future direction of AI capability within a growing business while working on real-world applications of LLMs and predictive analytics

Hiring: Data Scientist (Credit Risk) | £490/day | Remote (UK) I'm currently working with a client looking for a hands-on Data Scientist to join their team on a credit risk & customer analytics project. This is a great opportunity for someone who enjoys practical, business-facing data science - working with real data, improving models, and influencing decision-making. What you'll be doing Building and improving predictive models (starting with logistic regression, progressing to more advanced methods) Working with large customer datasets to support credit risk and onboarding decisions Running data QA checks and validating datasets Analysing model performance and turning outputs into clear business insights Supporting initiatives across fraud, identity risk, and investigations ️ Tech / Tools Python (increasingly), R Azure / Databricks Large-scale data environments ✅ Ideal background Experience in Data Science / Machine Learning roles Strong understanding of statistical modelling & predictive analytics Experience working with customer data and large datasets Confident communicating insights to non-technical stakeholders (Desirable) experience in credit risk, fraud, or financial services Details £490/day (Inside IR35) Primarily remote (occasional Cardiff visits ~1x/month) Fast interview process - looking to move quickly 12 month contract Please click to find out more about our Key Information Documents. Please note that the documents provided contain generic information. If we are successful in finding you an assignment, you will receive a Key Information Document which will be specific to the vendor set-up you have chosen and your placement. To find out more about Computer Futures please visit Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales

Trainee AI Engineer - No Experience Needed! Ready to launch a future-proof career in AI - even if you have zero experience? We’re looking for ambitious individuals ready to break into the world of artificial intelligence and data science. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provided and a guaranteed job offer (£25K-£45K starting salary) within 20 miles of your location. Whether you're working full-time, part-time, or currently unemployed, our flexible, self-paced program allows you to train around your lifestyle and be job-ready in as little as 6-12 months. How it works - your journey to AI success Step 1: Discover AI Start your journey with our beginner-friendly mini-course bundle. Explore the fundamentals of AI through interactive videos, presentations, and quizzes - all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong portfolio as you learn. Step 3: Get Certified Prepare for and earn your Microsoft AI-900: Azure AI Fundamentals certification, an internationally recognised qualification that proves your knowledge and boosts your credibility with employers. Step 4: Real-World Projects Showcase your new skills with two industry-based, practical projects assigned by your personal tutor. These projects are designed to give you real, portfolio-worthy experience, making you stand out to employers from day one. Your guaranteed future After completing your training, you'll be placed in a Junior AI Engineer role with a guaranteed starting salary of £25K-£45K. We work with top employers across the UK to ensure you get matched with a role close to home. We guarantee a job offer upon completion or 100% of your course fees refunded. We’re proud to have helped over 1,000 people each year transform their careers. Explore our success stories on our website and see what your future could look like. At a one off cost of £990, or a deposit of £149 followed by 10 interest free monthly instalments of £124, this represents a great opportunity to start a rewarding career in Ai and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Ready to future-proof your career? If you’re passionate about tech and ready to break into one of the fastest-growing industries in the world, apply now. One of our friendly advisors will be in touch to guide you through the next steps. ‘Please note that this is a training course and fees apply

Job Title: Data Scientist Location: Cardiff Salary/Rate: £(Apply online only) per day inside IR35 Start Date: June Job Type: Initial 12 month contract Company Introduction We have an exciting opportunity now available with one of our sector-leading consultancy clients! They are currently looking for a skilled Data Scientist to conduct statistical analysis to support product strategy decisions. Job Responsibilities/Objectives This role is focused on supporting day-to-day analytical activities across customer portfolios, including credit application assessments, standard financial and risk analysis, and product-related analysis. The individual will also contribute to research and development initiatives, monitor and evaluate model performance, and support the migration of existing analytical processes to cloud-based platforms. Overall, the role requires a strong blend of analytical capability, technical understanding, and adaptability to evolving tools and environments. The ideal candidate will have experience in data mining, statistical methods, and modelling / scoring techniques. Required Skills/Experience The ideal candidate will have the following: Have experience of independently running analysis of large datasets, producing results and presenting these to business partners with support of data science peers. Have degree in computer science, mathematics, statistics or quantitative methods (or equivalent experience). Have good understanding of statistical methods applied to data analysis. Have user experience of Cloud capabilities, preferred Databricks. Have user experience of coding languages for data science and machine learning (e.g. Python, R). Have good written communication skills, including the ability to describe statistical results to non-statistical audiences. Experience processing large data sets and matching/merging multiple data sets. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Lead Machine Learning Engineer. A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team. Lead the development of machine learning engineering capability across the business.

Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second.We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins,

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

Deep experience building or evolving real machine learning systems used in production.

Familiarity with deep learning frameworks such as TensorFlow and PyTorch, and experience working with portable graph formats such as ONNX. Ideal candidates will have direct experience with MLIR based compilers or other multilevel IR stacks, especially in the context of graph based deep learning work

We are searching for a talented Applied Machine Learning Scientist to join our engineering team as we continue to expand our data science efforts. We utilize the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Have a comprehensive understanding of

You’ll be leading technical work within a team of adaptable, creative and product‑focused engineers, who train & integrate cutting‑edge machine learning across a variety of products and deploy them into production for millions of users. You will join the Machine Learning Growth Personalisation

As a Member of Technical Staff, Machine Learning, you will build core ML components. Strong foundations in machine learning and modern neural architectures. You will work on real production systems from day one, learning how large-scale ML behaves outside of research settings.

We’re looking for a hands‑on and motivated Senior Engineering Manager for Applied Machine Learning & Research to support the development and delivery of machine learning systems at Super Technologies. Manage and prioritise machine learning projects to align with business goals and objectives. Co

At Cresta, we are dedicated to building state-of-the-art Machine Learning systems that power real-time, intelligent customer interactions. As a Senior Machine Learning Engineer, you will be at the forefront of applying modern ML and speech/NLP techniques to production systems. Develop, train, and de

As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. Make pragmatic trade-offs and ship improvements quickly, learning from real usage.

Postdoctoral Researcher on Machine Learning in Radio Interferometry. We are seeking to employ a talented and motivated researcher to join an international collaboration on a joint ESO/SKAO‑funded project to develop deep‑learning‑based image reconstruction techniques for radio interferometry.

As a Senior Member of Technical Staff, Machine Learning, you are an independent owner of critical ML subsystems in production. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning.

They’re hiring a Senior Machine Learning Engineer to build state‑of‑the‑art generative video systems, working across everything from diffusion models to neural rendering. Machine Learning / Software Engineering.

AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e. Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional machine learning expertise. AI Training - Machine Learning Specialis

Research Fellow in Computational Modelling & Machine Learning for Respiratory Research. The framework will leverage disease progression modelling, unsupervised/semi-supervised learning, and transfer learning to disentangle contributions of individual pathologies to non-specific biomarkers. Knowledge

HFT prop firm, building an ML-driven mid-frequency (mins>.Hours) global equities team, hiring in London.Central team (building globally across APAC, EU & US), firm-level commitment, not a pod, not a multi-manager.The team lead came out of one of the best firms in the business at this (you'll have to

They’re now looking for a Principal Machine Learning Engineer to play a key role in shaping the architecture, strategy, and delivery of large-scale production ML systems powering live sports environments. Principal Machine Learning Engineer – Sports AI & Personalisation. They’re building next-

PhD in Machine Learning, Computer Science, Applied Mathematics, or a closely related field, with original contributions to deep learning, reinforcement learning, or generative models. We are looking for a Machine Learning Engineer to join the team — someone who can operate across the full spectrum

In this role, you will formulate, train and deploy machine learning models for robotic systems that perceive the world through vision and sensors, learn structured representation in data, and operate reliably in real‑world industrial environments. Strong background in deep learning (computer visio

The opportuity for 2026 with a fast growth start up and p,lease apply now -.EA are excited to be appointed to help in working with this AI start up that is revolutionising tools that let filmmakers edit, localise, and refine performances without reshoots.The Senior ML Systems Engineer will own the f

We're hiring a Principal Machine Learning Engineer to lead the development of our core antibody foundation model platform. You'll work at the intersection of large-scale machine learning, protein modelling, and therapeutic discovery, helping define the architecture, infrastructure, and technical dir

Hoxton, London | £80–95k + equity.MNRecruit is partnering with Samudra Oceans — an early-stage company building AI systems for offshore energy and maritime industries using real-time ocean and sensor data.This is a rare opportunity to join at an early stage, work directly with the CEO (10+ year

Machine Learning Team Lead - Foundation Models & Probabilistic AI. By combining large-scale multimodal biological datasets with probabilistic machine learning and generative AI, we’re developing systems capable of predicting complex biological behaviour at unprecedented scale. We’re looking for