426 to 450 of 2,243 Machine Learning Jobs in England

ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML) to drive disease understanding - from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal … osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams … multi-omics and perturbational data to drive transformative insights into drug discovery. As a member of the Single Cell and Spatial Omics team, and embedded within one of the ML research teams, you will contribute advanced data analysis and domain expertise to challenge ML models that aim to predict and explain cellular decision-making in disease. Your responsibilities Develop and More ❯

and a creative approach, we navigate through challenges to achieve successful outcomes. What You Will Be Doing Key Responsibilities: 10+yrs of experience in design, develop, and deploy AI/ML models and solutions using Python or any other competitive scripting languages Build and fine-tune large language models (LLMs) and Generative AI systems. Integrate AI solutions with OpenAI services through … OpenAI, GPT 4.0, turbo, etc) Research and implement machine learning algorithms and tools to solve complex problems. Develop pipelines for data preprocessing, training, validation, and deployment of ML models. Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows. Optimize model performance and ensure scalability of AI/ML applications. Stay up-to-date … with the latest advancements in AI/ML, LLMs, and GenAI technologies. To Be Successful in The Role, You Will Have Required Skills: Proficiency in Python and machine learning framework s (e.g., TensorFlow, PyTorch, Scikit-Learn). Hands-on experience with OpenAI APIs and Microsoft Azure AI services. Strong understanding of large language models, prompt engineering, and fine More ❯

and impactful for businesses of all sizes. Your Mission Recombine is looking for a Senior Solution Engineer who will playa key role in the success of our AI and ML-driven products. As anintegral part of our Sales Engineering team, you will beresponsible for promoting and evangelizing these solutions to ourclients and prospects. In addition, you will mentor and enable … product development by working closely with our industryteams. Your responsibilities will include creating and deliveringproof-of-value (PoV) demonstrations, custom demos, deep dives, andmaterials that scale our AI/ML business. You will also collaboratewith vertical teams to integrate AI/ML into their sales campaigns. What You'll Do at Recombine Lead the most strategic AI/ML-focused … deals and productdiscussions with clients. Enable and mentor Sales Engineers (SEs) and Account Executives(AEs) on AI/ML technologies. Conduct workshops and deliver presentations to clients andprospects. Create and deliver customized demos, PoVs, and materials basedon client needs and field observations. Collaborate with vertical teams to incorporate AI/ML into theirsales strategies and initiatives. Work closely with product More ❯

future of Generative AI in life sciences? As a Senior AI Scientist at IQVIA, you will play a pivotal role in architecting, developing, and deploying cutting-edge AI/ML solutions that transform how pharmaceutical companies operate and innovate. You will work at the forefront of machine learning, leading initiatives that leverage large language models (LLMs), agentic AI … functionally with engineering, product, and domain experts to ensure AI solutions align with customer needs and compliance frameworks. Contribute to publication strategies and represent IQVIA at leading AI/ML conferences (e.g., NeurIPS, ICML, ICLR). Qualifications: PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field, with a strong publication record in top-tier AI … Extensive experience with fine-tuning/distillation of large-scale language models, with hands-on expertise in SFT, PPO, and reward modeling. Deep proficiency in Python and AI/ML frameworks such as PyTorch, LangChain, LangGraph, GraphRAG, and AutoGen. Experience with modern vector and graph databases (e.g., ChromaDB, Neo4j) and LLMOps platforms (e.g., Azure, Databricks, Azure OpenAI). Proven track More ❯

Senior Machine Learning Scientist (Recommender Systems) - Viator London, England, United Kingdom About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that … innovative concepts that offer tangible benefits. To be successful in the role, you'll need: 5+ years of hands-on data science experience. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Previous experience of working on industrial grade recommendation systems and ideally familiarity with offline evaluation techniques. Awareness of current ML techniques, keen … the business simply and effectively. Desired qualifications: Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines. Knowledge in (any or all) User Modelling, Representation Learning, Large Language Models (LLM) Prior experience in e-commerce or at an Online Travel Agency. Job Location: This role can be on-site hybrid or a remote position in More ❯

and protocols at the intersection of Web3 and AI, disrupting traditional industries, empowering individuals, and fostering a more equitable digital landscape. Recent ventures include: - Kluster.ai - Anti-hallucination platform for Machine Learning models - Moonbeam - EVM-compatible L1 blockchain optimised for cross-chain use cases - Tanssi - Decentralised AppChain infrastructure secured via Restaking What you'll do: Lead the end-to … end design and development of core AI systems that enable collective learning and shared memory among autonomous agents. Architect and implement scalable distributed infrastructure for capturing, validating, and surfacing agent experiences across complex networks at scale Drive innovation in protocol-level mechanisms for memory curation, knowledge consolidation, and token-incentivized participation across mutually distrusting agents. Build frameworks and tooling … expertise in Generative AI, multi-agent systems, LLMs, end-to-end MLOps, and AI infrastructure. Exposure to Deep Learning, Reinforcement Learning, federated learning, AI evaluation or ML fundamentals is highly beneficial. Active interest and awareness of SOTA in multi-agent systems, collective learning, AI safety, secure agent execution, emerging AI agent architectures, and tool integration. Familiarity More ❯

projects across defence, security, and commercial domains. You'll work in multi-disciplinary AI teams , collaborating with internal stakeholders, academic partners, and SMEs, delivering real-world applications of advanced ML techniques and semantic technologies. Key Responsibilities: Lead and shape innovative research in NLP, LLMs, and graph-based machine learning. Oversee the technical delivery of R&D projects, from concept … relevant field with 4+ years of post-doctoral or industry experience. Proven experience leading R&D teams (5+ people) and securing funding. Strong Python development skills, with experience using ML frameworks like TensorFlow or PyTorch. Expertise in at least one of the following areas: Graph Machine Learning (predictive, causal, or neuro-symbolic) NLP (text mining, entity linking, information … extraction) Applications of LLMs in real-world or defence-related contexts Graph-structured data and graph algorithms Designing and utilising relational or graph databases Desirable Experience: Experience with graph ML libraries (e.g., PyTorch-Geometric, PyKeen) or KG tools (e.g., Neo4j) Familiarity with query languages such as SQL or Cypher Understanding of semantic reasoning, ontology design, or knowledge representation Why Apply More ❯

Senior Machine Learning Scientist (Generative AI) - Viator London, UK About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believethat making memories is what travel is all about. And with 300,000+ travel experiences toexplore-everything from simple tours to extreme adventures (and all the niche, interesting stuffin between)-making memories that will last … instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering … data science experience with at least 2 years of experience with LLM Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a More ❯

you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

you will be expected to: Design and build Agentic AI and GenAI solutions, from PoC to production, using agile methodologies and best practices. Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Assess latest Agentic AI platforms/… frameworks and implement the right fit for Deloitte landscape and uses cases. Build data pipelines, models, and AI applications, using cloud platforms and frameworks such as Azure AI/ML Studio, AWS Bedrock, GCP Vertex, Spark, TensorFlow, PyTorch, etc. Build and deploy production grade fine-tuned LLMs and complex RAG architectures. Create and manage the complex and robust prompts across … and adherence to data privacy regulations Connect to your skills and professional experience A bachelor's degree (or equivalent) or higher in AI or equivalent. Experience in data science, machine learning, and AI, with a proven track record of delivering AI-driven solutions in a professional setting, using a variety of tools and techniques. Proficient in programming languages More ❯

ML Ops Engineer – Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond. … that’s pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact. The Role: You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems … and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you’ll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head office in a major academic city. There is More ❯

Applied Research Software Engineer (AI/ML, Python/Julia, C++, Masters or PhD) Guildford, Surrey (On-site) £65000 - £140,000 + 25% Bonus, 10% Pension, Private Medical . - A Masters or PhD Degree in Computing or STEM disciplines. - Can work full-time, 5 days a week in Guildford in the office. Your new company This leading Software provider are … Team working on forward looking projects with a focus on high-impact research and early-stage prototyping. You will contribute to the early-stage exploration of technologies such as Machine Learning and AI Engineering and translate experimental code into production quality implementations in an R&D style environment. You'll be working to deliver a new suite of … and one or more compiled systems languages (e.g., C, C++, C#). Experience with scientific computing, numerical methods, or computational modelling. Familiarity with emerging and interdisciplinary technologies such as: machine learning, digital twins, agentic systems, reinforcement learning, probabilistic computing, or control systems. What you'll get in return You'll work for a technology focused company building More ❯

models are integrated seamlessly into our applications, providing fast and accurate results. This role requires a deep understanding of software engineering principles and a strong foundation in AI and machine learning. ️ Your responsibilities: Design and implement AI retrieval systems : Develop and maintain the core AI retrieval algorithms and services that enable our platform to efficiently search and retrieve relevant … like FastAPI and Flask. Streaming responses and cancelable endpoints : Capable of implementing streaming responses and cancelable endpoints to support real-time and interactive use cases. Preferred skills and experience Machine learning experience : Familiarity with machine learning frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn. Natural Language Processing (NLP) : Experience with NLP techniques and tools … through Galleri Competitive pension scheme and company contribution Annual work-life stipends for: Home office setup, cell phone, internet Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company-wide off-sites and team off-sites Competitive compensation and company stock options More ❯

Senior ML Platform Engineer (London) - Artificial Intelligence Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Engineering AI department has 350+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision … dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built … of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. We are looking for Senior ML Platform Engineers with strong expertise and passion for building platforms for (Gen) AI applications. As a Senior ML Platform Engineer, you will have the opportunity to create a more cohesive More ❯

the heart of our Data Team, Data Engineers play a pivotal role by creating pipelines and tables that power impactful dashboards, enable self-service via SQL, and support innovative machine learning models and real-time data products. As a Data Engineer, you will be involved in engineering pipelines that will drive key decisions and give data science powerful … datasets to enable and drive new business insights. Data Engineers work alongside Machine learning engineers, BI Developers and Data Scientists in cross-functional teams with key impacts and visions. Using your skills with SQL, Python, data modelling and Spark to ingest and transform high volume complex raw event data into user-friendly high impact tables. As a department … an EV Scheme to further reduce carbon emissions, extra festive time off, and excellent family-friendly benefits. We prioritise career growth with clear career paths, transparent pay bands, personal learning budgets, and regular learning days. Jump on board and supercharge your career from day one! Our values represent the things that matter most to us and what we More ❯

growing small- and mid-market accounts to enterprise-level customers including public sector. AWS Asia Pacific & Japan (APJ) Professional Services (ProServe) is seeking for a Senior Consultant, AI/ML for its Technology & Industry team. This role will be focused on helping customers build or migrate their data-driven business workloads on AWS. From ideation through to build and then … Senior Consultant will be based in Singapore but have an APJ wide remit in the Professional Services team. Successful candidates will be experienced and motivated business-oriented AI/ML practitioners. They must possess a unique balance of business knowledge and Technology depth in Artificial Intelligence and Machine Learning with delivery implementation experience. Their focus will be on … providing pre-sales support with customer executives followed by hands-on-delivery for AI ML workloads. Successful candidates will have executive level experience in leading, defining, designing and deploying enterprise level strategic solutions leveraging Data, Artificial Intelligence and Machine Learning. Domain expertise should include deep, practical and hands-on understanding of Machine Learning, Data and Business intelligence. More ❯

ML Ops Engineer - Motion Capture Technology | Hybrid (Oxford, UK) An exciting opportunity has arisen for an ML Ops Engineer to join a world-leading technology company specialising in high-performance motion capture solutions for the entertainment, engineering, and life sciences industries. Their products are widely used in feature films, gaming, commercials, and cutting-edge research in biomechanics, robotics, and beyond. … that's pushing the boundaries of motion capture technology, working in a company with a strong track record of innovation and global impact. The Role: You will join the ML Operations team, supporting the development of next-generation motion capture products. The role involves provisioning and maintaining a modern ML Ops stack, which includes data acquisition pipelines, data management systems … and ML model training infrastructure. This stack combines self-managed on-premises systems with cloud-based AWS resources. As an ML Ops Engineer, you'll have the opportunity to influence technical direction, propose new solutions, and potentially lead projects within the team. The company offers a hybrid working model , with a head office in a major academic city. There is More ❯

job is opened in the EU Headquarters in Luxembourg (alternatively: Barcelona, Berlin or London), designed to maximize interaction with the team and stakeholders. Basic qualifications PhD in Operations Research, Machine Learning, Statistics, Applied Mathematics, Computer Science or other field related to algorithms and data (or equivalent experience). Excellent written and verbal communication skills. Experience with some programming … from working in a fast-paced applied research environment. Ability to handle ambiguity. Top tier publications pertinent to the field of study. Key job responsibilities Solve complex optimization and machine learning problems using scalable algorithmic techniques. Design and develop efficient research prototypes that address real-world problems in the massive logistics network of Amazon. Lead complex time-bound … in leadership to invest in programs of several hundreds millions euros every year. Above all, we are having fun solving real-world problems, in real-world speed, while failing & learning along the way. We use modular algorithmic designs in the domain of combinatorial optimization, solving complicated generalizations of core OR problems with the right level of decomposition, employing parallelization More ❯

Senior Machine Learning Scientist (Generative AI) - Viator London, England About Viator Viator, a Tripadvisor company, is the leading marketplace for travel experiences. We believe that making memories is what travel is all about. And with 300,000+ travel experiences to exploreeverything from simple tours to extreme adventures (and all the niche, interesting stuff in between)making memories that … instruction tuning. Define best practices for model monitoring, including output quality, hallucination detection, and user feedback loops. Understanding use cases for Agentic AI communicating your findings with the wider ML team and product. Utilize RLHF methodologies to build feedback mechanisms that directly shape the behavior and quality of our generative AI outputs. Collaborate cross-functionally with product, design, and engineering … data science experience with at least 2 years of experience with LLM. Awareness of current LLM techniques, prompt tuning, evaluations and model monitoring. In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries. Strong skills in SQL and at least one programming language. To be comfortable in code reviews, discussing architecture, and collaborating with a More ❯

technology teams, and data scientists, to ensure that final solutions meet requirements. The Lead AI Solutions Engineer is an expert in large language models, Gen AI application implementation and machine learning, and has a passion for creating intelligent systems that automate processes, improve efficiency, and drive business innovation. In this role you will be responsible for: Design and … versioning for AI systems. Mentor and guide junior engineers and cross-functional team members, fostering a culture of technical excellence and collaboration. Stay current with advancements in AI/ML and LLM technologies and proactively identify opportunities to apply them to business challenges. About You: We encourage you to bring your own experience and expertise to the table so, while … to discussing how your individual knowledge might lend itself to fulfilling this role and help us achieve our goals. What you need to have: Proven experience delivering AI/ML solutions in production , with a strong focus on large language models (LLMs) and generative AI. Hands-on expertise with Azure Databricks , including data engineering, model development, and orchestration of ML More ❯

enjoy the journey. Role Overview: Principal AI Engineer You will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organization. Collaborating closely with Data Science, Engineering, Product, and Business teams, you'll understand complex challenges and … data exploration to model deployment and monitoring-ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML … tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control (e.g., Git), CI/CD pipelines, and automated testing for ML code. What we offer Join us and experience a different way of doing things-our 4Cs culture focuses on our colleagues, customers, company, and community. We support your growth with More ❯

improve customer engagement. As a Principal AI Engineer, you will be part of the Technology Engineering team within CIO, leading the design, development, and deployment of advanced AI and machine learning solutions that drive innovation, efficiency, and strategic value across the organisation. You will collaborate closely with cross-functional teams, including Data Science, Engineering, Product, and Business stakeholders … exploration to model development, deployment, and monitoring - ensuring solutions are scalable, ethical, and aligned with enterprise goals. Skills we would love you to have: Extensive experience in AI/ML engineering, data science, or applied machine learning roles. Proven track record of delivering production-grade AI solutions in complex, data-rich environments. Proficiency in Python and key ML … code tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control (e.g.Git), CI/CD pipelines, and automated testing for ML code. What we offer Join us and you'll find a different way of doing things. We call it the 4Cs. We focus on getting it right for our colleagues More ❯