526 to 550 of 2,654 Machine Learning Jobs in England

to deliver intelligent, high-quality user experiences. Share knowledge generously, mentor mid and associate level engineers helping them level up. Stay up to date with industry trends in AI, machine learning, and agent architecture. Bringing ideas back to help the team separate hype from value. Bring a practical understanding of AI UX challenges, including latency, user trust, transparency … scaling web applications. Proficient with at least one modern backend language (e.g. Go, Python, Rust). Strong grasp of software architecture, design principles, and API development. Basic understanding of machine learning and deep learning fundamentals. Effective mentor and communicator who supports the growth of others. Comfortable providing technical guidance and helping resolve ambiguity on large-scale work. … time data pipelines or streaming architectures. Prior work on context-aware or intelligent product experiences. Experience with design systems or component libraries in a production setting. Passion for continuously learning and sharing insights with the team. EEOC We are an equal opportunity employer and believe having diverse teams where everyone brings their whole self to Pendo is key to More ❯

2D Computer Vision and Machine Learning projects and work closely with our Data Operation team to turn data into structured insights and input for our Vision/ML projects. As you grow into the role, you will also coach and lead junior Data/AI Engineers. We offer a highly competitive package including equity ownership and the opportunity … days/week in our London Shoreditch office. What you'll be doing: Advance our 3D AI pipeline modules using the latest 3D Data Processing, 3D Vision, and ML techniques. Design, develop, and deploy (3D Data and AI) algorithms, structures, and labeling processes that scale efficiently with our growing data volume and customers. Identify data, vision/ML, and operational … in 3D computer vision, machine vision, computational geometry , or related areas (2D vision experience is not sufficient on its own). Strong track record in executing AI/ML projects end-to-end (from design and prototyping to scaled deployments). High proficiency in Python delivering scalable, high-quality production code. Deep familiarity with 3D AI and 3D computer More ❯

technology consultancy is seeking a Research Scientist - Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI, autonomy, cyber, and complex … tier academic institutions and SMEs on mission-led innovation in data and decision support systems. Key Responsibilities Drive applied and novel research in knowledge representation, semantics, and graph-based ML Lead the delivery of technical reports, research proposals, and PoC demonstrators Mentor junior researchers and manage technical delivery across projects Present findings to both technical and non-technical audiences Engage … R&D teams (ideally 5+ people) Demonstrated success in writing and winning technical research proposals (especially within Defence or public sector R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning More ❯

test automation (TDD, BDD, Playwright). What you'll need Understanding of AI systems. Java with SpringBoot or python. ReactJS or knowledge of JavaScript, Nodejs, TypeScript. Delivering production grade ML models. Kubernetes and container management. Building RESTful services and Web UI. Exposure to continuous integration/continuous deployment pipelines and test automation. Exposure to public cloud infrastructure, data streaming and … It would be great if you had any of the following Strong analytical and problem-solving skills to tackle complex challenges. Some experience of curating and running production-scale ML pipelines. Up to date with the latest developments in machine learning (LLMs). Experience with AWS, Google Cloud, or Azure for deploying machine learning models. About More ❯

engineers, EDA engineers, robotics and ethical AI experts, legal and regulatory advisors, product counsel, UX/UI designers, electronics engineers, PTO engineers, automation engineers, CNC programmers, network security analysts, machine learning engineers, telemetry engineers, data engineers, data scientists, cabling, IT and network infrastructure engineers, and field application engineers. The architecture board will oversee the verticals of business modeling … IDF, JTAG) Embedded Software Engineer with 20+ years experience, Masters in Electronics & Telecommunications, proficient in Embedded C/C++, Python, Linux, RTOS, and hardware platforms Additional key skills include Machine Learning & AI, Deep Learning, Computer Vision, Data Science, RF Design, PCB design, 5G, macro/m-MIMO, Satellite, High-Speed RF applications, VHDL & FPGA Design Security certifications More ❯

Responsibilities Drive ML engineering strategy and implementation within an ambitious, high-impact, ML research agenda in the molecular sciences. Design, develop, and deploy data processing pipelines, machine learning models, and workflows. Collaborate with internal and external partners to deploy and evaluate models and workflows. Champion and coach the team in modern engineering practices. Prepare technical papers and presentations. … international and interdisciplinary research team towards a common research goal. Qualifications Required: Strong experience in Python software development and deployment. Proven track record in designing, developing, and deploying scientific ML systems with real-world impact. Experience working with cross-functional teams. Experience with major cloud platforms and/or HPC. Preferred: Deep learning experience. Experience with chemoinformatics and computational More ❯

Please visit our careers site to find out more about working at Ki. Job Details: Senior Software Engineer, ML Ops Vacancy Name: Senior Software Engineer, ML Ops Employment Type: Permanent Location: London Role Details Who are we? Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers legs. … Kis mission is simple: Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning, and large language models to give insurance brokers quotes in seconds rather than days. Ki is proudly the biggest global algorithmic insurance carrier and the fastest growing syndicate in the … build and deploy best-in-market algorithmic underwriting models and graphs of models at scale. Sample products you might be involved in building include developer tooling, microservice orchestration systems, ML model serving infrastructure, and feature serving and storage infrastructure. Principal Accountabilities Build robust and scalable software for business critical, web-based applications. Design, build, test, document and maintain APIs and More ❯

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 ❯

that will help our customers imagine, design, and make a better world. We are a team of scientists, researchers, engineers, and designers working together on projects that range from learning-based design systems, computer vision … graphics, robotics, human-computer interaction, sustainability, simulation, manufacturing, architectural design and construction. This role will report to a Manager of Research Science in the AI Lab. Responsibilities Develop new ML models and AI techniques Lead on research projects within a global team Review relevant AI/ML literature to identify emerging methods, technologies, and best practices Explore new data sources … and discover techniques for best leveraging data Minimum Qualifications A Master's or PhD in a field related to AI/ML such as: Computer Science, Mathematics, Statistics, Physics, Linguistics, Mechanical Engineering, Architecture or related disciplines Strong background applying Deep Learning techniques (including implementing custom architectures, optimizing model performance, developing novel loss functions, and deploying production-ready solutions) Familiarity More ❯

Technical Product Lead (Machine Learning & AI) A large corporate undergoing major digital & data transformation, implementing AI & ML solutions to enhance Customer Experience. They are seeking a Head of Technical Product to join their internal "Software Scale-up" team. You will work with a group dedicated to delivering ML & AI products to various product leaders and senior stakeholders within … driven architectures Experience building data-driven software applications in areas such as: AI Data Science/Analytics Decision support systems Automation E-commerce Call centre tooling Operational management tooling ML and/or Data Ops 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 ❯

at any level to capture video, analyze data, share highlights and more. Ready to join us? Your Role We're looking for an Engineering Manager to join our Applied Machine Learning team and deliver new experiences and valuable insights to our coaches, athletes and fans across Hudl. You'll drive game-changing initiatives that use cutting-edge computer … roles, you've supported a team of 5-10 individual contributors to operate at their highest potential. System expertise . You've built, maintained and monitored complex AI/ML models and systems in production at scale. Strong technical proficiency. You have extensive experience in several of the following areas: machine vision (classical and deep learning), multi-view … trade-offs across all levels of the organization and to cross-functional stakeholders. A proven track record . You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. Nice-to-Haves Sports industry experience . If you've used AI/ML in sports to generate data and/or create insights 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 ❯

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 ❯

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 ❯