51 to 75 of 1,066 Machine Learning Jobs in the UK

will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve … focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety … with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability). Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with More ❯

practices in these areas is essential. Essential Skills: Proficient in Python programming (2+ years' experience) Previous experience in the development and use of Convolution Neural Networks (CNN's) for machine vision and image analysis applications Previous development and fast prototyping experience in at one of following specializations of computer vision or machine learning: Object/face/… tracking Activity Recgnition Camera Calibratin 3D stere, SLAM or Depth estimation from video Proficient in Linux Experience with Docker Experience with large-scale data sets Proficient with open source machine learning platforms such PyTorch or Keras/tensorflow. Ability to develop using rapid prototyping techniques aimed at demonstrating applications quickly in a fast moving environment. Agile/DevOps … Integration/Continuous Delivery practices. Good written and excellent spoken communication skills as well as attention to detail. Desired Skills: • MSc or PhD degree in Computer Science, Computer Vision, Machine Learning, Robotics or related technical field. Python experience Experience shipping computer vision solutions or fast prototyping and development Strong grasp of latest cutting edge research in object detection More ❯

Product Manager, AdTech and Machine LearningMetaAdvertising TechnologyProduct ManagementProduct StrategyWe're hiring in London across our ad monetization teams, with a focus on ad tech and machine learning. In these roles, you'll identify opportunities to better address the needs of the millions of businesses using our ad monetization products and develop and execute strategies to build the corresponding … products across a complex ad tech and machine learning technology stack.Meta Product Managers work with cross-functional teams of engineers, designers, data scientists and researchers to build the products used by billions of people and businesses every day. We are looking for extremely entrepreneurial Product Managers who know how to move quickly and operate under high ambiguity.Product Manager … AdTech and Machine Learning Responsibilities Is the primary driver for identifying significant opportunities, and driving product vision, strategies and roadmaps in the context of broader organizational strategies and goals Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry Incorporate data, research, and market analysis to More ❯

be part of a collaborative, forward-thinking environment where your contributions will directly shape the future of real estate technology. Role Responsibilities Design, develop, and implement generative AI and machine learning solutions for commercial real estate. Apply large language models to analyse financial documents and market datasets. Engineer and optimise prompts, as well as evaluate LLM outputs for … Role Requirements 2-4 years' experience in applied machine learning and generative AI, including work with large language models. Strong Python programming skills with experience in core ML libraries (numpy, pandas, scikit-learn, boosting methods). Proven ability to design, test, and deploy production-ready machine learning solutions. Hands-on experience in data processing and feature … engineering for complex datasets. A degree in Computer Science, Statistics, Machine Learning, Engineering, Physics, or a related quantitative field. More ❯

Overview Applied Scientist I (Machine Learning), ITA - Automated Performance Evaluation Job ID: Amazon Development Centre (Scotland) Limited Do you want a role with deep meaning and the ability to make a major impact? As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for … the right quantity, at the right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life. Join ITA in using technologies to transform the hiring landscape and make a … problems. About the team The Automated Performance Evaluation (APE) team is a hybrid team of Applied Scientists and Software Development Engineers who develop, deploy and own end-to-end machine learning services for use in the HR and Recruiting functions at Amazon. Basic Qualifications Master's degree in computer science, mathematics, statistics, machine learning or equivalent More ❯

We're partnering with an established AI consultancy seeking a Contract Machine Learning Engineer (NLP) to lead an NLP project for a major utilities client. You'll develop and deploy transformer models, LLMs, and RAG pipelines to extract insights from unstructured data. Remote, outside IR35, £650/day. Contract Machine Learning Engineer (NLP - Utilities Sector) Rate … an expanding portfolio of project types across multiple industries. As they scale, their internal team is being deployed onto several new accounts - and they're now seeking a Contract Machine Learning Engineer to take ownership of an ongoing NLP project for a long-standing client in the utilities sector. The Project The utilities client handles large volumes of … , with significant hands-on NLP project experience. Deep understanding of transformer models and LLM fine-tuning. Proficient in Python, PyTorch or TensorFlow, and scikit-learn. Practical experience deploying ML models in production environments (cloud-native or on-prem). Familiar with data versioning, MLflow, and monitoring frameworks (e.g. Weights & Biases, Evidently). Strong communicator, capable of leading project delivery More ❯

Company: AmorphiQ Quantum Machine Learning Spinout Location: Cambridge/London (United Kingdom) Role (Part-Time/Full-Time): Full-Time Application Deadline: 10 August 2025, 23:59 Join a new quantum machine learning company backed by venture-builder Cambridge Future Tech and three leading UK universities. AmorphiQ is on a mission to unlock competitive performance through … time-series data analysis using a novel machine learning modality leveraging interacting quantum properties. The founding team are developing a proprietary machine learning architecture to find nuanced patterns within complex datasets for high-value industries, like the financial services, whilst reducing the overall costs associated with traditional neural networks. We're looking for a visionary Chief … venture to deliver maximum impact, both societal and financial, for all stakeholders. Scale the venture: Set strategy, define milestones, and build a world-class team that can take quantum machine learning from pilot to mainstream. Raise capital: Lead equity and grant funding rounds; manage investor relationships and board governance. Drive commercial adoption: Secure pilot and partnerships with adopters More ❯

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills … in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems More ❯

We are looking to hire several contract Research Scientists with expertise in computer systems and AI infrastructure to conduct cutting-edge research at the intersection of computer systems, machine learning, and distributed systems. These roles are ideal for recent PhD graduates seeking industrial research experience, or for exceptional B.Sc. or M.Sc. graduates looking to deepen their research skills … in an industry setting. We welcome applicants with backgrounds in one or more of the following areas: operating systems, distributed systems, and machine learning systems. Key Responsibilities: Rapid Prototyping: Collaborate with a multidisciplinary team to quickly develop and test proof-of-concept prototypes, validating research ideas in real-world, industrial environments. Performance Optimization: Perform detailed profiling and optimization … related technical field. Be comfortable with research methodology. Have an in-depth understanding of operating systems and/or distributed systems and/or cloud computing and/or machine learning algorithms. Good programming skills, master of at least one language, such as C/C++. Good communication and teamwork skills. Desired: PhD in operating systems, distributed systems More ❯

Do you have an IT qualification alongside a passion for AI, LLMs and machine learning? Are you looking for a role in industry focused on improving productivity through leveraging those technologies? Want great training, a family feel welcoming atmosphere, third party mentors for support but also the opportunity to learn by doing from day one, and to see … they’re bringing some of it in-house. We’re looking for a Graduate IT Developer with strong web development skills and a real interest in AI, LLMs and machine learning, to help them transform how they work. You'll get scope to work on interesting projects from day one, support from third party IT professionals and great … .* Some experience with APIs, integrations, and middleware (most likely through a University project, or year in industry).* Knowledge or hands-on exposure to AI/LLMs/ML (if you're not an early AI adopter it's unlikely this is for you).* Familiarity with cloud platforms and modern IT frameworks.* A proactive, curious mindset with a More ❯

be passionate about bridging the gap between data science experimentation and scalable production systems, driving automation, and enabling faster innovation cycles. Key Responsibilities Architect, build, and maintain production-grade ML Ops pipelines to automate deployment, monitoring, and scaling of machine learning models. Collaborate with data scientists and ML engineers to reduce time-to-production for experiments and prototypes. … AWS cloud services (EC2, S3, Lambda, SageMaker, RDS, DynamoDB, Redshift, etc.) to build robust, scalable, and cost-effective solutions. Apply AIOps practices to enhance monitoring, automation, and resilience of ML systems. Implement best practices in data engineering, version control, CI/CD, and infrastructure as code. Ensure the security, reliability, and compliance of data pipelines and deployed ML solutions. Mentor … a Senior Data Engineer, MLOps Engineer, or similar role. Strong background in data structures, algorithms, and software engineering principles. Advanced proficiency in Python for data wrangling, pipeline automation, and ML workflows. Expertise in AWS services, including databases (RDS, DynamoDB, Redshift) and machine learning/AI (SageMaker, AI/ML frameworks). Hands-on experience with ML pipeline orchestration More ❯

Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning … document embeddings, and data chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development and data pipelines, developing innovative solutions as needed. Actively research and identify the latest relevant methods and technologies in the field. What We're Looking … For: Basic Required Qualifications: A degree in Computer Science, Mathematics, Statistics, Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least 5 years of professional experience in advanced analytics, data science, or machine learning. A minimum of 1 year of hands-on experience developing More ❯

with technology and business teams to build new GenAI solutions that delight our customers. You will be responsible for directing a team of scientists, deep learning architects, and ML engineers to build generative AI models and pipelines, and deliver state-of-the-art solutions to customer's business and mission problems. Your team will be working with terabytes of … our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising … of Machine Learning (NLP, Regression, Classification, Clustering, or Anomaly Detection) Experience with fairness in machine learning and artificial intelligence to detect and remove bias in ML/AI systems Bachelor's degree in Computer Science or equivalent Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. More ❯

Engineer to help us build intelligent systems that power the future of digital advertising. What will you be doing as an Applied Machine Learning Engineer? Build applied ML systems that make our product smarter and more defensible Develop contextual categorisation of web content (e.g. automatically recognising industry categories) Prototype algorithms that can improve advertising outcomes, such as smarter … bidding or optimisation logic Work closely with product and commercial teams to package outputs into demos and case studies for clients Collaborate with engineers to integrate ML features into production system Establish good practices for applied ML in the business, bringing your curiosity and drive to help us move fast while building robust foundations Apply modern LLM techniques to business … techniques and excited about working in a start-up where you'll have a big impact from day one! Ideally, you've got 1-3 years experience in applied ML/AI (or equivalent practical experience through academic projects or early career roles) You're comfortable coding in Python and using ML frameworks (e.g. PyTorch, Hugging Face, scikit-learn) You More ❯

the whole lifecycle of model development. That means you are someone who enjoys in equal measures the data wrangling to compose meaningful feature and clean sets, and modelling using Machine Learning. You'll develop and deploy machine learning models that power real-world decisions - from underwriting to fraud detection to optimise customer conversion. This is an end … end role: data wrangling, model development, evaluation, and performance monitoring. As a Data Scientist, you'll play a key role in the end-to-end lifecycle of their advanced machine learning models, working with structured and unstructured data to fuel predictive analytics. You'll be part of an agile, innovative team, developing cutting-edge solutions that are transforming … field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills Ability to work in a fast-paced, dynamic environment Eagerness to make an More ❯

unlock their digital potential! To get a sneak peek into our culture, find us on Overview Why is this team critical to Optimizely? Business Impact: Powering Optimizely One, our ML innovations are crucial for defining Optimizely's technological leadership in digital experience platform High Visibility: ML capabilities developed by this team are central to Optimizely's strategic product roadmap and … who will architect and technically lead projects dedicated to pushing the boundaries of AI-driven digital experiences. In this pivotal role, you will guide the development of cutting-edge machine learning solutions that not only anticipate but actively shape how global brands engage, understand, and delight their customers through intelligent, predictive, and personalized digital interactions.Some Technologies We Work … machine learning development Implement rigorous code quality and testing standards across data science projects Support talent acquisition and continuous learning initiatives Knowledge and Experience Knowledge of ML model development and deployment frameworks (MLFlow, Kubeflow Advanced data querying (SQL) and data engineering pipelines (Airflow Extensive experience with comprehensive unit testing, integration testing, and test coverage strategies Experience working More ❯

Senior Consultant - Data Science & Machine Learning Location: Manchester city centre (Hybrid, 2-3 days on site) + North West client sites Salary: £60,000 - £90,000 per annum Security: SC required to start, must be willing to obtain DV Are you an experienced Data Scientist or Machine Learning Consultant who wants to apply their skills to … people who want to shape the future of AI in Defence and National Security. You'll use your expertise to tackle mission-critical problems - applying advanced data science and machine learning to real-world challenges in text, audio, image and video. From building models and leading implementations through to mentoring … colleagues and influencing new propositions, you'll play a key role in both delivery and practice growth. What we're looking for Hands-on experience in data science or ML, ideally in Defence, Security, public sector or academia. Strong technical grounding in ML methods (Transformers, CNNs, Generative AI, etc.) with proficiency in Python and libraries such as TensorFlow, PyTorch or More ❯

will have the unique opportunity to learn directly from our team of AI researchers, engineers, and data scientists. This role is designed to provide structured, real-world experience in machine learning, data processing, and model deployment while working on exciting projects. You'll gain practical experience in various stages of AI development, from data preprocessing and algorithm implementation … Work with cutting-edge AI technologies like neural networks, natural language processing, and computer vision. Participate in regular team meetings and brainstorming sessions. Gain experience with popular AI/ML tools and frameworks such as Python, TensorFlow, PyTorch, and Scikit-learn. Learn about data pipelines, from data ingestion to model deployment. Deepen your understanding of algorithms, AI ethics, and the … Hands-on experience with real-world AI projects that impact our business and customers. Mentorship and guidance from experienced professionals in the AI field. Requirements Passion for AI/ML : Demonstrated interest in artificial intelligence and machine learning. Education : Currently pursuing or recently completed a degree in Computer Science, Mathematics, Data Science, or a related field. Programming Skills : Basic More ❯

of the business, with key deliverables to increase conversion, retention and overall company income and profitability. The role will involve the management of detailed analysis of data using sophisticated machine learning and statistical techniques within price optimisation to recommend pricing actions which increase volume, income and profit. In addition, the Lead Pricing Analyst will build pricing capability and … of retail pricing in the wider Ageas UK Group. Main Responsibilities as Lead Pricing Analyst - Market: Management, development and coaching of Pricing Analysts. Develop, validate, review, and approve predictive machine learning models; exploring new machine learning techniques to improve model predictiveness. Development and delivery of up to date and accurate datasets for modelling, pricing and monitoring … out price optimisation and improve on existing price optimisation processes using innovative techniques; prepare recommendations for senior stakeholders. Maintenance and application of models of customer and market behaviour; incorporating machine learning into behavioural models. Skills and experience you need as Lead Pricing Analyst - Market: 3+ years’ experience in insurance pricing or related analytical background. Highly skilled in the More ❯

to start ASAP for an initial 6-month contract on a hybrid basis based near Stratford, London. Main Accountabilities: Design and implementation of tooling and technologies to support Machine Learning and the use of Large Language Models Take ownership of the design, deployment, and maintenance of machine learning models Recommend, implement, and use tooling to improve … the development, operations, and observability of machine learning models, large language models, and AI-related services Essential skills: Previous experience working on online Chat or Chatbors, particular voice, is a must-have. Strong recent hands-on capabilities in Python are a must-have. Experience with a microservice environment using tools such as Jupyter, Pandas, Numpy, Fast API, and … of embeddings, generative IA, and its applications is a must-have Desireable : Any of Terraform, Helm, Kubernetes, Postgres would be advantageous. Qualifications or demonstrable experience in Data Science and Machine Learning including algorithms, NLP, XAI. A demonstrable experience in delivering real-world applications using Generative AI, in particular Large Language Models. The two-stage remote interview process with More ❯

be found at . As at 31 March 2025 The Team We are looking for an AI engineer to help us build solutions that utilise the latest GenAI and Machine Learning techniques and capabilities. This role will allow you to work at the intersection of technology, generative AI and finance, helping to deliver high-impact, novel solutions that … touch every part of our business. Working within our Machine Learning Technology team, you will help to build out the core AI platform and infrastructure used across Man Group. Alongside this, you will also partner and consult with teams across the business to help create agents and tools that augment, automate and ultimately transform our investment and operational … maintain the firm's core AI and Machine Learning platform Partner with stakeholders in research, trading, technology, and operations to design, build, and deploy bespoke AI/ML applications and agents Manage the full lifecycle of domain-specific models, including training, fine-tuning, validation, deployment, and monitoring in production environments Keep up to date with the latest in More ❯

in managing or leading an engineering team. Minimum Qualifications Strong understanding of machine learning concepts and technologies. Detailed understanding of building, evaluating and release management processes for ML systems. Strong leadership, management, planning and co-ordination skills with demonstrated ability to work collaboratively across an organization. Experience with modern machine learning algorithms including large language models. … distilling sophisticated technical requirements from multiple partners into a coherent long-term platform roadmap. Industry experience in implementing and training large language models PhD or MSc in Language Technologies, Machine Learning, or a closely related field. More ❯

point of application. Data Science sits at the heart of this USP, developing the credit risk models to underwrite loan and credit card products.You will experiment with the latest machine learning techniques combined with a rich data repository to build and deploy best-in-market risk models.This role will primarily focus on our UK Cards business, but through … all areas of Lendable. Our team keeps up with the latest advancements in the industry through regular journal clubs. Our team's objectives The data science team develops proprietary machine learning models combining state-of-the-art techniques with a variety of data sources that inform scorecard development and risk management, optimise marketing and pricing, and improve operations … team and business Key Skills Knowledge of machine learning techniques and their respective pros and cons. Ability to communicate complex topics clearly and concisely Proficiency with creating ML models in Python with experiment tracking tools, such as MLFlow. Curiosity, creativity, resourcefulness and a collaborative spirit Interest in problems related to the financial services domain - a knowledge of Credit More ❯

Senior Data Scientist - AI/ML (Financial Services) Location: Remote/Major Hubs in APAC, Europe, and the UK Team: Advanced Analytics & Artificial Intelligence About the Role We are seeking a highly experienced and innovative Senior Data Scientist to join our global Advanced Analytics team. This is a strategic role focused on designing, developing, and deploying cutting-edge AI and … instrumental in driving revenue growth, optimizing risk management, enhancing customer experiences, and ensuring regulatory compliance on a global scale. Key Responsibilities End-to-End Model Development: Lead the entire ML lifecyclefrom problem framing, data exploration, and feature engineering to model training, validation, deployment, and monitoring in production environments. Advanced Algorithm Design: Develop and implement sophisticated machine learning algorithms … scientists, establish best practices for code (e.g., Git), model versioning (e.g., MLflow), and reproducible research. Conduct code reviews and champion a culture of technical excellence. MLOps & Productionisation: Work with ML Engineers and DevOps teams to build robust, scalable, and automated MLOps pipelines for continuous integration and delivery (CI/CD) of models. Regulatory Compliance & Governance: Ensure all models are developed More ❯

Innovative Companies by Fast Company. We realize people do not fit into neat boxes. We are looking for curious and empathetic individuals who are committed to developing themselves and learning new skills, and we are ready to help you do that. We cannot complete our mission without building a diverse and inclusive team. We hire the best people based … efficiency, synthesizing findings into actionable threat intelligence to better protect our customers.The team's core disciplines are data engineering, data science, devops, and security. We use data science and machine learning to process large volumes of data and build threat intelligence for Cloudflare's customers About the Role We're seeking a Data Scientist to join our team … our team. The ideal candidate will possess a strong foundational knowledge of data science principles and statistical modeling. Day-to-day responsibilities include: Collaborate with other Data Scientists and Machine Learning Engineers to design and implement analytical approaches that inform scalable threat detection models. Partner with threat intelligence analysts to understand emerging attack techniques and leverage data to More ❯