51 to 75 of 1,496 Machine Learning Jobs in the UK

contributing to scalable software architecture and defining best practices. Working with clients, and cross-functional teams, you'll ensure technical feasibility and timely delivery of high-quality, production-grade ML systems. What you'll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML systems. Collaborating with engineers … project feasibility and impact. Defining and implementing Faculty's standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You understand the full machine learning lifecycle and have experience operationalising models built with frameworks like Scikit-learn, TensorFlow, or … GCP), including architecture and security. You've worked with container and orchestration tools such at Docker & Kubernetes to build and manage applications at scale You are comfortable with core ML concepts, including probability, statistics, and common learning techniques. You're an excellent communicator, able to guide technical teams and confidently advise non-technical stakeholders. You thrive in a fast More ❯

but we are also open to hiring a contractor for an initial 6 month period, working via agency. The role is inside IR35. Role and Responsibilities As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will: Drive the research, design, development, and evaluation of innovative AI algorithms and models, with a primary … Science/Engineering, Electrical Engineering, Mathematics, or a related discipline. Professional software development experience with Python (experience with C++, Java, or Kotlin is a plus). Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. Strong experience in audio/speech processing, including areas such as speech recognition, speech … enhancement, audio analysis, text-to-speech synthesis, and natural language processing. Proficiency with machine learning frameworks such as TensorFlow or PyTorch. Solid understanding of software engineering principles, including version control (Git), CI/CD pipelines, and agile development methodologies. Excellent communication, collaboration, and problem-solving skills. Demonstrated ability to translate research ideas into practical, production-ready solutions. Desirable More ❯

Senior Machine Learning Pricing Analyst - Nottingham/Hybrid - £60,000 - £70,000 This is an excellent opportunity within a growing commercial business for a Senior Machine Learning Pricing Analyst to join a thriving team. You will use machine learning and AI-driven analytics through Snowflake to analyse sales and pricing data, and identify lost … analysis to assist the business to drive growth and profitability. Key Areas of the Role: Analyse sales and customer data to identify commercial patterns. Develop and maintain AI/ML models (via Snowflake) that predict customer conversion success. Collaborate with sales, pricing, and commercial teams to develop data-informed pricing strategies. Identify customer segments or pricing bands where win rates … with a commercial focus. Continuously evaluate and improve analytical methods using the latest AI and data science tools. The ideal candidate will have hands-on experience applying and deploying machine learning and AI tools like Python, TensorFlow, scikit-learn, or similar, to commercial pricing problems. Strong communication skills, modelling ability, and familiarity with data visualisation tools such as More ❯

Data scientist, Machine learning engineer Clients include Meta, Spotify, X, with 19 clients and a 21% rebook rate. Rated 5.0 based on 8 reviews. Experience 2023-Present: Spotify, Machine Learning Engineering Manager, London 2022-23: Twitter, Senior Machine Learning Engineer, London 2018-21: Facebook, Senior Research Data Scientist, London 2016-18: Data Scientist, Amsterdam … I am a former Meta Senior Research Data Scientist with experience in eCommerce, applied statistics, data center optimization, and instrumentation. Currently, I am a Senior Machine Learning Engineer at a major social media network. Services Job application assistance Interview coaching (over 50 interviews conducted for Meta, coaching more than 10 individuals) Career … coaching Skills & Mentoring I can mentor in: Technical communication, cross-functional collaboration, performance reviews, managing up Python, data structures, machine learning, LLM fine-tuning, observability, large-scale ML deployments Availability times are shown in your local timezone. Reviews Recent reviews highlight the effectiveness of coaching sessions in ML system design, behavioral interview preparation, career guidance, and interview resource More ❯

ML RESEARCH ENGINEER - SPEECH/AUDIO/GEN-AI INTERNSHIP OR FTC SALARY: £70-73K for INTERNS. £90-95K for FTC (PhD holders/completed). SURREY - HYBRID (3 DAYS IN OFFICE) Our client, a leading innovator in technology and consumer solutions, is seeking talented and highly motivated Machine Learning Research Engineers to join a growing … algorithms and systems for speech/audio analysis, enhancement, separation, and understanding. Build high-quality software prototypes and research-driven experimental systems. Collect, analyse, and curate datasets to support ML model development and evaluation. Run rigorous experiments and statistical evaluations to measure algorithm and system performance. Collaborate with a multidisciplinary team of engineers and researchers to bring innovation from concept … Experience training models, not only using pre-trained ones. Ability to modify model architectures, retrain, and adapt research papers into production-ready systems. Strong grounding in speech/audio ML, deep learning, and ideally generative AI for audio. *P. S: Company cannot provide visa sponsorship, so only candidates residing in UK and with the existing right to work will More ❯

your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing outcomes. … Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale … and reliability in real-world environments. AI SCIENTIST - ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem More ❯

/data private, feel free to WhatsApp your details/CV to me, Dan - 07704 152638 WHO WE ARE: We're a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing outcomes. … Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale … and reliability in real-world environments. AI SCIENTIST - ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem More ❯

to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do … learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML … powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues More ❯

to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do … learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML … powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues 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 ❯

If you're passionate about machine learning and data science and ready to lead a team building groundbreaking technology with real-world impact, this role offers a rare opportunity. An innovative software platform is seeking a seasoned leader to oversee its data science function. In this pivotal role, you'll guide both strategic direction and technical execution of … through predictive insights rooted in customer behaviour. You'll lead a talented team of data scientists, shaping a collaborative, high-performing group. Your focus will be driving innovation, scaling ML systems, and aligning technical efforts with business outcomes. You'll work with senior leadership and collaborate across departments to ensure machine learning delivers real, lasting value. This role … offers a blend of strategic influence and hands on impact. You'll define how machine learning evolves while ensuring solutions are robust, scalable, and commercially relevant. From improving processes to evaluating new tools, you'll have the freedom and responsibility to set the pace. The ideal candidate has at least eight years of experience in machine learning More ❯

solve the hardest problems. ‍Accountability for every result. ‍Integrity always. About The Role 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. This role is designed for impact, and we believe our best work happens when … 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. Requirements What Success Looks Like Demonstrates adeptness in persuasive communication and 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 ❯

Machine Learning Engineer is sought by a high growth B2B scale up based in Birmingham city centre. With data-driven creativity at its core their platform uses machine learning to turn business insights into business success. As a Machine Learning Engineer, you'll sit at the intersection of data science, engineering, and commercial strategy More ❯

center of it. The role and what you'll be doing As Head of Data Science you'll lead on our strategy and roadmap for using data science and ML initiatives to support our ambitious growth plans. Activities will include: Recruiting, leading and mentoring our Data Science team, and creating a community of practice to share knowledge and expertise. Work … Data Science across our business areas. Continuously improving our engineering practices across data science products to operate at pace and at scale. Be a champion of data science and ML, communicating it's value to colleagues across the business. Oversee, and contribute to, the development of machine learning models, working closely with the Machine Learning Engineers … ways to apply data science that drives business value. Excellent communication skills with both technical and non technical audiences. Knowledge of the latest technologies in the Data Science and ML space, and enjoy sharing your knowledge with your team and colleagues. Experience building machine learning models and working with ML Engineers to deploy them into production. Demonstrate in More ❯

Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite Im on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact. Youll be joining a scaling B2B … build, and maintain scalable data pipelines within Databricks. Deploy, monitor, and support machine learning models in production. Take a hands-on approach to data science, analytics, and ML solutions. Continuously optimise data workflows for performance, reliability, and scalability. What youll need: Proven hands-on experience with Databricks, Python, PySpark, and SQL. Machine learning experience in a … cloud environment (AWS, Azure, or GCP). Strong understanding of ML libraries such as scikit-learn, TensorFlow, or MLflow. Solid background in data modelling, ELT/ETL processes, and analytics best practices. If youre ready to make an impact in a growing tech company and bring your MLOps expertise to the table GET IN TOUCH today! Bright Purple is an More ❯

Machine Learning Engineer (Databricks) - £60 - £70k Edinburgh Hybrid - 2 days onsite I’m on the lookout for an MLOps Engineer who can truly bridge the gap between Data Engineering and Data Science. This role is all about leveraging Databricks and Python to design, build, and scale data models that drive genuine business impact. You’ll be joining a … build, and maintain scalable data pipelines within Databricks. • Deploy, monitor, and support machine learning models in production. • Take a hands-on approach to data science, analytics, and ML solutions. • Continuously optimise data workflows for performance, reliability, and scalability. What you’ll need: • Proven hands-on experience with Databricks, Python, PySpark, and SQL. • Machine learning experience in … a cloud environment (AWS, Azure, or GCP). • Strong understanding of ML libraries such as scikit-learn, TensorFlow, or MLflow. • Solid background in data modelling, ELT/ETL processes, and analytics best practices. If you’re ready to make an impact in a growing tech company and bring your MLOps expertise to the table — GET IN TOUCH today! Bright Purple More ❯

role offers the opportunity to make a significant impact on our advanced logistics network while working with pioneering technology and data science applications. Basic Qualifications 3+ years of building machine learning models for business application experience Knowledge of programming languages such as C/C++, Python, Java or Perl Experience programming in Java, C++, Python or related language … Experience with neural deep learning methods and machine learning Preferred Qualifications PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field 3+ years of extensive relevant research experience Deep expertise in Machine Learning Proficiency in programming Core competency in mathematics and statistics Track record of successful More ❯

Data Scientist & Machine Learning Engineer - Fully Remote We are currently working on a fully remote, data-driven gaming & entertainment company that's scaling its Data Science and Machine Learning capabilities across Europe. The business has around 100 employees globally and is deeply invested in analytics, experimentation, and automated decision-making.They're now hiring for: Senior Data … and frequent interaction with C-level stakeholders, so strong communication and statistical depth are essential.Tech: Python, SQL, GCP. Machine Learning Engineer Focused on deploying, maintaining, and monitoring ML systems. You won't be building models but will work closely with DS and engineering teams to ensure performance and reliability. Quality and resilience matter more than years of experience.What 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 Data Product Manager - AI/ML Egham, Surrey (Hybrid - 2 days in office) Salary: £90,000 - £100,000 Our client, a global leader in customer-focused services, is seeking a Senior Data Product Manager to take a pivotal role in shaping and delivering innovative, AI-driven and predictive data products that enhance decision-making and operational excellence across international … from finance to technical operations-across the USA, Europe, and other regions. Your mission: drive adoption, deliver measurable business value, and champion data product excellence through advanced analytics and machine learning innovation. Key Responsibilities Define product strategies and roadmaps aligned with global business challenges and opportunities in AI, machine learning, and predictive analytics. Manage the full … Develop business cases and manage product delivery budgets. Define KPIs to measure success, model performance, and foster continuous improvement. Build and lead a high-performing team of Data Modellers, Machine Learning Specialists, and Business Analysts. Communicate strategy, vision, and progress to senior stakeholders, articulating the impact of AI and predictive insights. Your Profile 5+ years' experience in data More ❯

must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark … Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine-tuning, prompt optimization, and monitoring. Architect secure ML/AI systems on Azure, AWS, or GCP . Deploy containerized web apps and ML services using Docker, Kubernetes (AKS/EKS/GKE), Azure Container Apps, ECS , integrated with … CI/CD (GitHub Actions, Azure DevOps, Jenkins). Mentor engineers, enforce best practices, and lead design/architecture reviews. Required Skills & Experience: 5+ years in ML/AI solution development. Recent hands-on experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. More ❯

love. And we do it all right here at Sky. As a Senior Machine Learning Engineer you will be responsible for the improvements and maintenance of our ML Framework, supporting a team of Data Scientists to deploy a variety of Machine Learning and AI models into production. The role works closely in collaboration with Data Scientists … Self-starter who can work independently to deliver improvements to the framework. Forward looking, always seeking for new ways to improve and develop on existing processes. Work closely with ML Engineers from other teams to share learnings and accelerate development of new features What you'll bring Advanced working knowledge of Vertex AI and the wider GCP ecosystem. Great communication … skills to aid the Principal Data Scientist to develop long term roadmaps and be comfortable presenting to Data leaders when needed. Strong working knowledge of modern ML frameworks (e.g., XGBoost, Scikit-learn, TensorFlow) and experience applying them to real-world problems. Proficiency in writing clean, maintainable, and efficient code in Python and SQL. Solid understanding of software engineering principles, including More ❯

love. And we do it all right here at Sky. As a Senior Machine Learning Engineer you will be responsible for the improvements and maintenance of our ML Framework, supporting a team of Data Scientists to deploy a variety of Machine Learning and AI models into production. The role works closely in collaboration with Data Scientists … Self-starter who can work independently to deliver improvements to the framework. Forward looking, always seeking for new ways to improve and develop on existing processes. Work closely with ML Engineers from other teams to share learnings and accelerate development of new features What you'll bring Advanced working knowledge of Vertex AI and the wider GCP ecosystem. Great communication … skills to aid the Principal Data Scientist to develop long term roadmaps and be comfortable presenting to Data leaders when needed. Strong working knowledge of modern ML frameworks (e.g., XGBoost, Scikit-learn, TensorFlow) and experience applying them to real-world problems. Proficiency in writing clean, maintainable, and efficient code in Python and SQL. Solid understanding of software engineering principles, including More ❯

the MarTech and AdTech sectors, committed to empowering small and medium-sized businesses (SMBs) through groundbreaking AI technologies. By harnessing sophisticated large language models, agent-based mechanisms, and proprietary machine learning frameworks, this organization seeks … to transform the marketing and advertising landscape by introducing enhanced intelligence, scalability, and automation. In pursuit of this mission, they are eager to establish a cutting-edge AI and ML team dedicated to creating innovative solutions that drive success in digital marketing. Job Description The Principal AI & ML Engineer will assume a pivotal role in constructing the foundational intelligence framework … that underpins our client's advanced marketing solutions. This position is essential for designing and executing state-of-the-art machine learning systems, particularly those that focus on large language models (LLMs) and real-time inference capabilities. The ideal candidate will lead the development of intelligent systems geared towards refining various marketing workflows, thereby amplifying the efficacy and More ❯