101 to 125 of 2,072 Machine Learning Jobs in the UK

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university More ❯

About the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it … s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world … B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university 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 ❯

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 ❯

Are you passionate about delivering real value to an organisation using advanced techniques in data science and machine learning? We are looking for multiple talented senior data scientists for our leading FinTech client. These role presents an opportunity for you to partner with stakeholders across all areas of the business, including marketing, risk, customer services and quants, to … deliver impactful data products using state-of-the-art machine learning technique Key Responsibilities Lead high-impact projects, being a technical thought leader and subject matter expert in classic Machine Learning as well as advanced and generative AI. Explore a variety of data from structured to unstructured data spanning client, operational and financial domains to identify … insight generation systems. Work with stakeholders from across the business to turn business problems into data science solutions. Mentor junior members of the department, helping them grow Experience Implementing machine learning in production using in-house or third-party data science platforms Building machine learning models; experience in Natural Language Processing, Time-Series prediction, Neural Networks More ❯

working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Joining our team, you'll work with world-class and passionate people to apply machine learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model … the hands of the customer, by enhancing our data-led understanding of products and categories, optimising across space and range and increasing automation of category decision making. Responsibilities Apply machine learning and statistical techniques to business problems. Contribute to the research and implementation of new approaches and perform data analysis and model validation. Present results to internal stakeholders. … category management by enhancing data-led understanding of products and categories, optimizing across space and range, and increasing automation of category decisions. Qualifications PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field. 3-5 years of experience. Experience with machine learning techniques such as regularised regression, clustering or More ❯

offices or at a client's site. How You'll Shape Our Success The purpose of this role is to advance clients' technical environments by designing and deploying innovative machine learning-based models and AI solutions that directly deliver measurable value for their organizations. What You'll Do Strong grasp of statistics and probability fundamentals Solid understanding … of machine learning algorithms for supervised and unsupervised learning Understanding of Transformer based models Experience developing AI agents Strong Python and SQL skills Experience with Cloud ML tools and version control (e.g. git) Experience with MLOps Collaborative, proactive, logical, methodical, and attentive to detail Excellent communication skills (verbal and written) Collaborate with clients to understand their business … problems and design technical solutions using machine learning models Develop and deploy machine learning models on Google Cloud Use version control and agile working practices Stay up-to-date with the latest developments in machine learning and bring new ideas to the team. What You'll Need to Succeed Demonstrates adeptness in persuasive communication 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 ❯

team. The PlayStation brand falls under Sony Interactive Entertainment, a wholly-owned subsidiary of Sony Group Corporation. Role Overview: We are looking for an independent, dedicated Senior or Staff Machine Learning Engineer to join the Visual Computing Group (VCG) and contribute to … redefining the world of game play and live streaming via advanced R&D. VCG's mission is to design and deploy advanced neural networks and machine learning (ML) for game rendering and streaming systems of SIE that exceed the state-of-the-art in runtime efficiency, visual quality and latency. What you'll be doing: Develop and improve … the team in core R&D work with other teams within Sony Interactive Entertainment What we're looking for: PhD or MSc in Computer Science, Electronic Engineering, Artificial Intelligence, Machine Learning, Computer Graphics or a related field, or equivalent skills evidenced by work experience in the specific domain of the post Strong background in: TensorFlow or PyTorch; Python More ❯

are a remote first company with headquarters in Stockholm and over 300 employees across Europe. About the Role We're looking for a Senior Recruiter who lives and breathes Machine Learning and AI hiring. This role is all about placing some of the sharpest minds in AI. The kind of people building foundational models, redefining computer vision, or … building robotics systems that push the limits of science and engineering. You'll support all hiring across our Machine Learning and AI orgs, working closely with our CTO, Functional Leads, and cross-functional leadership. Our teams are solving unique medical challenges at scale and we're only as good as the people we bring in to do that. … technical literacy, a network across the most prestigious AI orgs and a history of hiring people who've built first-of-its-kind systems. Responsibilities: Support hiring for our Machine Learning and AI orgs across Europe. Define and drive sourcing strategies targeting candidates in AI research, Computer Vision, Robotics, and Applied ML. Partner with senior leadership to define More ❯

West) Clearance Junior to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a … opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with … for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

for someone who is creative, curious, and technically skilled and loves working across the intersections of software engineering, data science, and AI innovation. Design, develop, and deploy AI/ML models using Microsoft Azure technologies. Build, train, and fine-tune machine learning models and algorithms to solve business challenges. Assess algorithm performance against large, real-world data sets. … Support and oversee ongoing AI/ML engineering projects and delivery for multiple clients. Implement scalable, production-ready AI solutions using best practices in MLOps. Collaborate with consultants, clients and data engineers to deliver robust, high-value client solutions. Contribute to the continuous evolution of our AI capabilities by identifying and applying emerging tools and techniques. Location : This is a … of delivering engineering projects that realise the potential of AI/ML. You’ll bring experience in some or all of the following: Hands-on experience delivering AI/ML engineering projects, ideally within a consultancy or data-driven business. A deep curiosity for ongoing development in AI/ML and emerging tech. Confident, credible and able to communicate internally More ❯

for someone who is creative, curious, and technically skilled and loves working across the intersections of software engineering, data science, and AI innovation. Design, develop, and deploy AI/ML models using Microsoft Azure technologies. Build, train, and fine-tune machine learning models and algorithms to solve business challenges. Assess algorithm performance against large, real-world data sets. … Support and oversee ongoing AI/ML engineering projects and delivery for multiple clients. Implement scalable, production-ready AI solutions using best practices in MLOps. Collaborate with consultants, clients and data engineers to deliver robust, high-value client solutions. Contribute to the continuous evolution of our AI capabilities by identifying and applying emerging tools and techniques. Location : This is a … of delivering engineering projects that realise the potential of AI/ML. You’ll bring experience in some or all of the following: Hands-on experience delivering AI/ML engineering projects, ideally within a consultancy or data-driven business. A deep curiosity for ongoing development in AI/ML and emerging tech. Confident, credible and able to communicate internally More ❯

Technology is seeking to recruit a senior researcher to join our rapidly expanding Data and Decision Support Capability. You should have a solid background in Machine Learning (ML) and/or statistical signal processing combined with excellent programming skills in Python and extensive experience in the use of libraries and toolboxes to support efficient development. The right candidate … will join our Advanced Information Processing (AIP) group, specialising in developing novel inference algorithms and the application of AI/ML to sequential (time-series) data and decision making. The candidate will have the opportunity to deliver a wide range of AI/ML research topics for customers across the space, defence, security and commercial sectors as well as into … and to grow technical research areas of interest to you. The Data and Decision Support Capability has a diverse range of teams/groups working across various AI/ML areas such as AI/ML for RF, EW, radar, sonar, distributed sensing-processing, data fusion, reinforcement learning, agent-based ML, autonomy, ML for signal processing, edge ML, image More ❯

learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and … machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to … proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of More ❯

learning solutions that power Sky's far-field voice experiences across Sky Glass and other partner devices. What you'll do Design, develop, train and optimise scalable ML models for far-field voice detection, verification, and enhancement across Sky devices and cloud platforms. Contribute to innovation discussions and research in applied speech, audio signal processing, ASR, NLP and … machine learning. Build and construct cloud-based ML pipelines and APIs that process real-time audio streams at scale. Work closely with data scientists, audio engineers, product managers, and external partners to deliver robust and accurate voice experiences. Develop and document technical specifications, ensuring solutions meet latency, performance, and reliability requirements. Monitor system metrics and production model performance to … proactively identify opportunities for improvement. Ensure best practices for ML operations (MLOps), including continuous integration, model deployment, and automated testing. Provide technical guidance, code reviews, and mentorship to junior members of the team. What you'll bring Demonstrated ability across the full ML lifecycle: model development, deployment, monitoring, and maintenance, with solid theoretical knowledge from classic approaches to state-of More ❯

Up to £125,000 + Equity About the Role A rapidly growing climate tech company, supported by top investors, is on the lookout for a passionate Director of AI & ML to spearhead the creation of cutting-edge machine learning solutions. Your work will empower banks, insurers, and real estate firms to comprehend and tackle physical climate risks. You … will be tasked with defining the ML strategy, assembling a high-impact team, and driving real-world innovations in generative AI, geospatial modelling, and time-series forecasting. Responsibilities Develop and refine the company's AI & ML strategy in alignment with product goals and customer needs. Lead, mentor, and expand a talented team of ML Engineers. Transform prototypes into production-ready … features that leverage GenAI and predictive models. Collaborate with Science and Engineering teams to integrate ML solutions with physics-based climate models. Simplify complex technical concepts to enable effective communication with customers and cross-functional teams. Your work will focus on delivering high-value insights and solutions, including: Creating generative AI tools for assessing geospatial risks. Building predictive models to More ❯

processing, and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. … journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong … coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image processing techniques. Working knowledge of cloud computing (preferably More ❯

processing, and post processing. Mentor and work with junior scientists to research and deliver innovative technologies that utilize every bit of signal in the data. Participate in hands-on machine learning research and deliver the results of the research in the form of new products. Communicate technical vision and roadmap at multiple levels within the organisation and externally. … journals. Represent Entrust at national and international scientific conferences. Contribute to filing patents. Essential Skills: Strong experience in machine learning and computer vision, including industry experience deploying ML models to production. Track record of successfully delivering high performance ML-driven products. Worked with customers to impactfully solve their problems. Deep understanding of machine learning theory. Strong … coding skills in Python and hands on experience using at least one of the deep learning frameworks Tensorflow or PyTorch. Desirable Skills: Technical experience in uncertainty modelling, explainable machine learning techniques, out-of-distribution detection, life-long learning, and related fields. Technical experience with signal processing and image processing techniques. Working knowledge of cloud computing (preferably More ❯

Africa, and the UK. Role Overview As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also … supporting various other business functions by providing data-driven insights and predictive capabilities. You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production … business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science. More ❯

The Role In this role, you'll be responsible for designing, developing, and maintaining scalable AI systems using machine learning and data-driven approaches. You'll integrate ML models into production-ready AI solutions while collaborating closely with data scientists, software engineers, and product teams. Monitor and optimise model performance, contribute to AI architecture and deployment, and stay … current with the latest AI/ML research and technologies. You should hit the apply button if... You have strong programming and software engineering skills, especially in Python, and follow best practices like version control and scalable code design. You bring practical experience designing, training, and evaluating machine learning models, including deep learning and statistical optimisation. You … years I want to be... An expert in deploying and shaping next-generation AI systems that drive real-world impact. Leading AI architecture and operational excellence, mentoring others in ML engineering best practices. Pioneering innovative AI applications with emerging technologies. Perks & Benefits £6,000 annual training/conference allowance Matched pension contributions up to 6% Private Healthcare (Vitality) EMI share More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R … and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R … and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R … and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI More ❯

Manage multiple projects from inception to deployment within cloud-based environments. Maintain high standards in code review, documentation, and delivery in a DevOps context. Apply a deep understanding of ML techniques, from supervised/unsupervised learning to generative AI and large language models. What We’re Looking For Essential Skills and Experience: Proven ability to solve complex, real-world … Experience managing multiple end-to-end data science projects across varied data types. Familiarity with DevOps practices and tools like Git. Cloud experience (e.g. Azure, AWS) and working with ML platforms and services. Strong communication skills, capable of explaining complex topics to non-technical stakeholders. Ability to align data science efforts with broader business objectives. Desirable Skills: Experience using R … and NLP or deep learning techniques (e.g. TF-IDF, word embeddings, CNNs, RNNs). Familiarity with Generative AI and prompt engineering. Experience with Azure Databricks, MLflow, Azure ML services, Docker, Kubernetes. Exposure to Agile development environments and software engineering best practices. Experience working in large or complex organisations or regulated industries. Strong working knowledge of Excel, SQL, Power BI More ❯