126 to 150 of 1,245 Machine Learning Jobs in the UK

remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways … maintain backend inference systems that meet the latency and quality demands of professional audio workflows Collaborate with product and engineering teams to implement ML research in commercial products Work with the product owner to identify where ML creates the most value for customers Clearly and effectively communicate ML concepts, model ...

engineering environment. Required: Core experience Strong grounding in audio machine learning or applied signal processing Experience training and evaluating models using modern ML tooling Awareness of real-world acoustic challenges such as noise, reverberation, and variability Comfort working in a small, fast-moving engineering team Likely … + some industry experience Beneficial Edge or embedded ML optimisation Audio feature extraction or DSP knowledge Postgraduate study in a relevant technical discipline Experience with sensing, monitoring, or real-world data systems ...

engineering environment. Required: Core experience Strong grounding in audio machine learning or applied signal processing Experience training and evaluating models using modern ML tooling Awareness of real-world acoustic challenges such as noise, reverberation, and variability Comfort working in a small, fast-moving engineering team Likely … + some industry experience Beneficial Edge or embedded ML optimisation Audio feature extraction or DSP knowledge Postgraduate study in a relevant technical discipline Experience with sensing, monitoring, or real-world data systems ...

Machine Learning Operations Engineer opportunity. You will build and maintain the infrastructure for AI and ML models, focusing on data pipelines, automation, and deployment. This role lives between data engineering and machine learning Key Skills and Experience: Previous experience in tuning and deploying machine learning … modelling techniques; GBMs, Elastic Net GLMs, GAMs, Logistic Regression, Random Forests, Decision Trees, Neural Nets and Clustering Experience in DevOps, or other MLOps and ML Lifecycle stacks Experience with Docker and Kubernetes Experience in creating production grade coding Experience in programming languages (eg Python, PySpark, R, SAS, SQL) Experience ...

Lead Bio-ML Engineer 📍 Oxford, UK 💰 £100k+ & Equity About The Company I'm working with an early-stage biotech startup based in Oxford building machine learning-driven platforms for drug discovery. Their mission is to dramatically reduce the time and cost of bringing new therapies to market … combining computational biology, large-scale biological datasets, and modern ML techniques. Backed by top-tier investors, they're a small, high-calibre team of scientists and engineers. Overview We’re hiring a Lead Bio-ML Engineer to take ownership of our core machine learning systems. This ...

Data & Machine Learning Engineer £40000-55000 GBP Bonus Scheme, Pension, Hybrid + Flexible Working Hybrid WORKING Location: Newcastle Upon Tyne, North East - United Kingdom Type: Permanent Data & Machine Learning Engineer Newcastle Up to £55,000 S/C Clearable We're looking for a Data & Machine Learning Engineer to join a growing technology team in Newcastle click apply for full job details ...

site role located in Bristol, United Kingdom for a Senior Machine Learning Engineer. The selected candidate will be responsible for: Architecting the ML Solver Platform : Define modular architecture for data preprocessing, model execution, and post-processing. Establish clear API contracts between Python/TensorFlow and C# services. Design … develop, and implement advanced machine learning algorithms and models, focusing on pattern recognition and neural network applications Productionizing ML Workflows : Convert research code into robust, testable, and observable services. Implement CI/CD pipelines, automated testing, and reproducibility standards. Integration & Interoperability : Design REST/gRPC endpoints for cross ...

defence environments. This is an opportunity to work at the cutting edge of data science, focusing on GenAI, large language models, and cloud-based ML deployments, while also taking on leadership responsibilities within a growing team. Role Responsibilities Lead day-to-day technical delivery across data science and ML projects … data governance and security best practices Desirable Skills Experience using GPUs in cloud environments Knowledge of MLOps, CI/CD pipelines, and monitoring ML models Experience building APIs and working with modern DevOps practices Eligibility Requirements Due to the nature of the work, candidates must: Hold active DV clearance ...

defence environments. This is an opportunity to work at the cutting edge of data science, focusing on GenAI, large language models, and cloud-based ML deployments, while also taking on leadership responsibilities within a growing team. Role Responsibilities Lead day-to-day technical delivery across data science and ML projects … data governance and security best practices Desirable Skills Experience using GPUs in cloud environments Knowledge of MLOps, CI/CD pipelines, and monitoring ML models Experience building APIs and working with modern DevOps practices Eligibility Requirements Due to the nature of the work, candidates must: Hold active DV clearance ...

Senior Computer Vision/Applied ML Engineer Oxfordshire - Onsite £150k+ with Significant Equity An early-stage technology company is hiring a Senior Computer Vision/Applied ML Engineer to help build next-generation perception systems. This is a high-impact opportunity within a small, high-calibre team, where … world environments. What you’ll be doing: Developing and improving core computer vision pipelines (e.g. geometry, spatial understanding, depth-related problems) Building and running ML experiments , including training, benchmarking, and evaluation Working with complex datasets to prepare, curate, and optimise model performance Supporting inference and deployment pipelines , including optimisation ...

Python Engineer - Machine Learning - 12 month contract - Glasgow (Hybrid 3 days onsite) Are you a Python specialist who enjoys solving complex engineering challenges at scale? I am looking for an experienced Python Machine Learning Engineers based in Scotland to help modernise and automate a large-scale … Designing and building robust Python services that automate complex workflows Developing API-driven solutions that abstract underlying platforms and enable self-service Applying machine learning techniques to enhance automation and decision-making Integrating modern tooling with legacy technologies where required Partnering with subject matter experts across storage, backup ...

Engineer, Alphafold, Boltz, Chai, Drug Discovery | B2B AI Start-up | 3 Days PW in London | Up to £130,000 Plus Benefits As an ML Engineer , you won’t just be a cog in a machine; you will be a foundational member of the team, designing cutting-edge algorithms … . Build: Create production-quality software, integrating structure-based algorithms into a global platform. Collaborate: Work at the intersection of physics, chemistry, biology, and ML to translate scientific needs into product reality. Own: You will have the freedom to drive innovation and shape the company’s technological framework from ...

foster skill development while contributing to cutting-edge technological applications. Role Description This is an on-site volunteer role for an AI/ML Engineer, located in the United Kingdom. The role involves designing, developing, and testing AI and machine learning models; pre-processing and analyzing large data … sets; and collaborating with cross-functional teams to integrate intelligent systems into ShopQuick's operations. The AI/ML Engineer will also be responsible for optimizing algorithms, monitoring performance metrics, and staying updated with advancements in machine learning technologies while applying them to real-world challenges. Qualifications Experience ...

Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. … Services organizations as well as Mobile Apps and Service companies. Required Skills: 2-4 years of experience manipulating data sets and building statistical and machine learning models. Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field Fluent English (written/spoken) Strong hands ...

optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise … platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure ...

while actively expanding into new application areas such as aerospace, immersive technologies, and assistive systems. The Role You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts. … responsibilities include: Designing and implementing machine learning models for human attention, perception, and interaction.Running independent experiments, from hypothesis and data design through to evaluation and analysis.Working with visual, temporal, and spatial data including images, video, 3D scenes, and gaze signals.Translating research ideas into practical prototypes with support from ...

London (Hybrid, 2 days per week) | £75,000 to £95,000 + bonus This is a chance to take ownership of end-to-end machine learning products within a large-scale personalisation programme, where data science directly shapes customer experiences. You will work on production systems rather than … lifecycle of data science and machine learning products, from problem definition through to deployment and iteration Design, build, and maintain production-ready ML systems that drive personalised customer experiences Lead a small delivery pod, providing technical direction and mentoring to data scientists Translate ambiguous business problems into well ...

machine learning tasks, partnering with stakeholders to solve real business problems and support data-driven decision-making. The business have 4-6 ML models in production, one of which is an award-winning. Generally these models are in the finance and risk areas - any experience of this would … Responsibilities: Develop, test, and maintain data science solutions using Python Perform exploratory data analysis (EDA) to identify trends, patterns, and opportunities Apply statistical and machine learning techniques to address business questions Use segmentation and clustering techniques where appropriate to support insight generation Interpret model results and communicate insights ...

Intern, you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer: Hands-on experience with real-world projects Mentorship … opportunity to experience working with professionals in their chosen field Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning ...

hour, inclusive of pro rata holiday entitlement and preparation time Hours of Work: Variable About the role Are you passionate about teaching Python, machine learning, and AI? Join the Business and Technology department at City Lit and inspire the next generation of digital talent. We’re looking … dynamic, forward-thinking tutors to deliver high quality courses in Python, machine learning, and AI. With proven teaching experience, you will guide adult learners as they build confidence and progress through Python, machine learning, and AI skills from introductory to advanced stages. As part of City ...

your family again! Design reusable assets, solutions and develop best practices for current and future business problems. Consult on complex analyses and advanced machine learning methods. Communicate and provide guidance to senior client leadership and teams. Shape AI Strategy and the delivery of LLM based solutions. Operate across … production deployment. Consult on leveraging cloud platforms like AWS, Azure, and GCP to facilitate scalable model deployment. Partner with developers and engineers to deploy machine learning algorithms that drive measurable business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards ...

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 ...

Senior Java Software Engineer - Java Developer, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Hybrid - 3 days a week in the office - Notting Hill) Description for the Senior Java Software Engineer role:- You will be joining a fast-growing, research-driven company building an artificial … intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that others have ruled out as impossible. The Java Software engineer will join a very bright, talented team of engineers with the guidance of technologists who have help build ...

someone who enjoys technical depth, variety, and ownership, and who is comfortable applying the right techniques to each problem - from statistical analysis through to machine learning and deep learning models. You’ll join a small, high-calibre team that values autonomy, flexibility and technical excellence. The environment … actionable data science solutions. Owning the full data science lifecycle, from data ingestion and feature engineering through to modelling, evaluation and deployment. Developing statistical, machine learning and deep learning models to support high-impact, real-world decision making. Working with large, structured and unstructured datasets, combining ...

machine learning models used across financial data, risk, and automation use cases. You’ll work alongside engineers and product teams to deploy ML solutions into production. Key Responsibilities Develop and deploy ML models Work with structured financial datasets Collaborate with engineering teams Improve model performance and monitoring Support … production ML pipelines Required Experience Machine learning engineering experience Python and ML frameworks Experience deploying models to production Financial services or data-heavy background Cloud ML tooling exposure Nice to Have NLP or time-series modelling MLOps experience Risk or fraud use cases Why Join Applied ML ...