201 to 225 of 2,182 Machine Learning Jobs in the UK

Reliability Engineer An exciting opportunity for a Site Reliability Engineer to join an award-winning, Cambridge-based AI software company at the forefront of machine learning innovation. As a Site Reliability Engineer, you will play a key role in maintaining and enhancing cloud infrastructure, monitoring systems, and deployment … processes, ensuring the reliability, scalability, and security of a sophisticated machine learning platform deployed across cloud environments. Location: Cambridge, hybrid working model 3 days in office not easily reachable via public transport from London Salary: £40,000 - £60,000 per annum, depending on experience Requirements for Site Reliability ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … needs of GS engineers. Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms) Provide technical guidance and support to other team members and stakeholders. Stay up to date with the latest industry trends ...

contexts. Working closely with the founders, you will influence both the technical roadmap and future diversification into new application areas. Key responsibilities include: Developing machine learning and computer vision models focused on human attention, perception, and intent Designing and running experiments independently across visual and spatial data Working … leading academic venues while working on applied problems Your Skills and Experience PhD or near completed PhD, or equivalent research experience, in computer vision, machine learning, neuroscience, cognitive science, robotics, HCI, or a related field Strong publication record, ideally at venues such as CVPR or ICCV, or equivalent ...

will be shaped by autonomous closed loop experimentation, where AI, software, and lab workflows work together to accelerate discovery, improve decision quality, and compound learning across programs. Reporting: Reports to CEO | Member of the management team | Occasional Board reporting Location: Manchester, UK. This is an on-site leadership role. … Artificial Intelligence, Machine Learning, Mathematics, Physics, Bioinformatics, Computational Biology, Engineering, or a related technical field required. • Research experience relevant to AI/ML, computational biology, protein science, biocatalysis, or adjacent quantitative scientific fields is desirable. What Success Looks Like In the first 12 months, success in this role ...

want to build AI systems that let users query complex datasets in natural language? Have you worked with machine learning models and wondered how they can power conversational analytics? Are you ready to apply LLMs and advanced analytics to financial market data? A London-based AI software company … financial users Key Details • Salary: £65,000 – £70,000 • Working model: Hybrid, 1 day per week in Canary Wharf, London • Tech stack: Python, ML algorithms, NLP, LLMs, AWS • Visa sponsorship: Not confirmed Interested? Please apply below. ...

implementation of AI solutions, helping Ridge unlock new levels of value, efficiency and insight through intelligent automation, advanced analytics and machine-learning capabilities. In this role, you will be instrumental in driving the discovery of AI opportunities across our various disciplines. You will collaborate closely with project teams … coding languages such as Python Demonstrated experience with low-code no-code platforms, preferably within Copilot Studio Proven experience with delivering AI and machine learning projects Experience spanning small, isolated implementations to larger org-wide initiatives Experience in data analysis, machine learning and AI development Hands ...

need someone who can build and deliver, not someone who has only experimented on the edges of AI. You will ideally bring: AI/ML engineering experience in production environments LLM development and orchestration experience Python development Cloud platform experience across AWS or Azure or GCP End-to-end delivery … your workload and move initiatives forward Cybersecurity knowledge is not essential. That can be taught. The non-negotiable is deep AI and machine learning expertise. What Youll Work With You will work across a modern AI and product environment, with plenty of room to influence standards and tooling ...

About the Company You will own the machine learning and computer vision components of the YEO CFR SDK. This means the facial recognition model, the three-layer passive liveness detection system (software depth analysis, pixelation detection, rPPG), anti-spoofing performance, and injection attack countermeasures. You will work alongside … pulse signal in variable lighting, at varying distances, on devices with no depth sensor, at frame rates as low as 15fps. Qualifications Tools & proficiency ML Frameworks: PyTorch (expert — primary training), TFLite (expert — Android/iOS inference), CoreML (strong — iOS Neural Engine), ONNX (strong — cross-platform interop), MediaPipe (competent — Android face ...

operations research, with a strong focus on simulation, modelling, and real world system optimisation. You will work with large scale datasets to build machine learning models and develop advanced simulation tools that support critical planning decisions. The role: Design and build machine learning models to forecast … closely related quantitative discipline Strong experience in a Data Scientist or Operational Research focused role working with large, complex datasets Solid understanding of machine learning techniques such as gradient boosting, random forests and time series modelling Experience building and deploying models used in real world decision making (e.g. ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health , you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring … platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained ...

will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine-learning use cases. This is a hands-on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders … pipelines supporting trading and analytics use cases Ingest structured and unstructured data from diverse internal and external sources Support predictive analytics, systematic trading, and machine-learning workloads Partner closely with Data Scientists and Trading teams to deliver high-quality datasets Contribute to cloud-native data platforms using modern ...

Build and maintain scalable data pipelines and ETL processes Engineer data workflows and decision‐support tools on Palantir platforms Work on applied AI and machine‐learning use cases Deliver Palantir implementation and advisory work across enterprise clients Combine software engineering expertise with strategic problem‐solving Work directly with … maintainable solutions Configure and extend Palantir platforms (e.g. Foundry, Gotham) to support operational and analytical use cases Collaborate with colleagues on analytics, AI, and machine‐learning initiatives Mentor junior engineers and contribute to engineering best practice Build trusted client relationships and support long‐term transformation outcomes Key Requirements ...

development and advanced analytics while building and scaling a high-performing, multidisciplinary team. You will oversee the end-to-end development and deployment of machine learning models and predictive analytics, while also managing the Business Intelligence (BI) and Data Analysis functions. This is a high-impact role requiring … support international expansion. Key Responsibilities Technical Leadership & Data Science Execution Design, build and deploy predictive models, pricing algorithms, and segmentation frameworks. Apply statistical modelling, machine learning and experimentation techniques to real‐world business problems. Use Python, R and SQL for data exploration, feature engineering, modelling and evaluation. Select ...

cutting-edge software at scale for both customer infrastructure and public cloud environments. With a strong heritage of innovation and expertise in Data Science, Machine Learning, Agile Software Development, Security Assurance, and Cryptographic Technologies, we help organisations overcome complex data challenges and drive digital transformation. What Will … Doing? As a Data Science Lead, you will be at the forefront of technically leading diverse teams across machine learning, cloud, data engineering, DevOps, and software engineering. You will: Lead customer engagements and manage stakeholder relationships Contribute to and prepare technical bids and proposals Collaborate with Delivery Management ...

high-impact analytics and innovation team. This is a fantastic opportunity for a data professional who is passionate about using advanced analytics, AI, and machine learning to influence strategic decision-making at scale. The Opportunity As a Senior Data Scientist, you will play a key role in transforming … services organisations. Key Responsibilities Analyse large, complex datasets to uncover trends, patterns, and insights that inform strategic decisions Design, develop, and deploy statistical and machine learning models to solve business problems Apply AI and advanced analytics techniques to enhance decision-making and operational efficiency Write high-quality, production ...

science team within their R&D function. This is a great opportunity to join at an early stage and help shape how data and machine learning are used to deliver real value to customers. As a Data Scientist, you’ll join a newly formed scrum team alongside Data … Engineers and DevOps specialists, working end-to-end from model development through to production deployment. What you’ll be doing Developing machine learning models using large, complex datasets to generate accurate predictive insights Building and refining automated training pipelines that continuously improve model performance Working closely with engineers ...

clients and support the sales cycle. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds … sales team, playing a key client-facing role in driving sales conversations forward, delivering Proof of Concepts, and supporting live customer engagements for a machine learning platform Location: Central London - 3 days in office/2 days remote Salary: Competitive + bonus + healthcare, pension, etc. Requirements ...

technical blog posts and educational materials. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of experience in Computer Vision, Machine Learning … clearly with technical and non-technical stakeholders. Proficiency in Python and familiarity with the YOLO ecosystem. Hands-on experience with OpenCV, PyTorch, and classical ML/CV concepts. Strong understanding of end-to-end model lifecycles, including data collection, preparation, training, evaluation, and deployment. Experience with Docker and comfort working ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

major public sector programme. You'll be working on the design and development of robust data processing systems that underpin analytics, data science and machine learning use cases. This role offers the chance to work on complex data platforms while collaborating with data scientists, engineers and stakeholders … highly skilled multidisciplinary environment. What You'll Be Doing: Designing, building and maintaining scalable data processing and integration services Supporting Data Science and Machine Learning workloads through well-engineered software solutions Developing high-quality, testable code using modern engineering practices Working within secure cloud-hosted environments Collaborating closely ...

Microsoft Fabric and AI-driven data capabilities. This role offers the opportunity to work on a modern data platform while also contributing to how machine learning and AI-driven insights are integrated into production environments. You will play a key role in shaping how data is used across … supporting analytics and reporting Support and enhance Azure Synapse and Azure Data Lake environments Contribute to the migration and adoption of Microsoft Fabric Integrate machine learning and AI-driven outputs into data pipelines Develop and support Power BI datasets and reporting layers Mentor Data Engineers and support best ...

with extensive sports datasets, you will develop models that determine odds and power in-play betting decisions. You will apply state-of-the-art machine learning techniques to sports data, collaborating with talented professionals in a fast-paced and dynamic environment. Our fast-paced, delivery-focused environment offers … ability to apply advanced techniques to complex, real-world problems. Mastery of Python/R, with extensive experience in designing and implementing complex machine learning solutions using frameworks such as scikit-learn, TensorFlow, or PyTorch. Excellent verbal and written communication skills for presenting complex data-driven insights ...

Data Scientists do this by listening to team members, understanding context and challenging business ideas. Data Scientists use diverse techniques - frequentist and Bayesian statistics, machine learning, exploratory and explanatory data analysis, causal inference, data visualization, monte carlo modelling, econometric analysis, etc. Such broad requirements call for the ability … analysis Run exploratory data analysis and turn it into questions which can be answered with analytical techniques Use simple analytics, statistical or causal inference, machine learning or any other techniques to answer questions and address problems Communicate results clearly and effectively Take care of unclear and ambiguous requirements ...