126 to 150 of 2,908 Machine Learning Jobs in the UK

Press Tab to Move to Skip to Content Link Job Title: Software Engineer - MLOps Job Band: C Contract Type: Permanent, Full-time Department: Machine Learning Enablement Team Location: Salford - Hybrid working with 1 day a week expected in office base location. Salary: £45,000 - £55,000 depending on relevant skills, knowledge and experience. The expected salary range for … and unique features that have firmly positioned us at the forefront of our industry. We don't merely adapt to an ever-changing world - we set the pace. The Machine Learning Enablement Team provides capabilities, tools, and advice to ensure best practices are followed and enables effective use of machine learning technologies that helps teams across … the business build, collaborate on, manage, and maintain their machine learning platforms. We are looking for a software engineer to work within the team to build/maintain machine learning infrastructure. Your Key Responsibilities And Impact Contribute to the design, development, and maintenance of tools supporting data science and MLOps workflows Implement software solutions in a More ❯

global impact, and ready to excel in a dynamic, high-energy environment. Join our team and help shape the future of Vision AI. Location and Legalities This full-time Machine Learning Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does … 000.00 20 hours ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 day ago Data Scientist - AI/ML, Python, Scripting, Cyber Security London, England, United Kingdom 4 days ago London, England, United Kingdom 3 days ago City Of Westminster, England, United Kingdom 5 days ago Graduate Software Engineer … ML Data Platform London, England, United Kingdom 1 month ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr More ❯

to solve complex business challenges End-to-end AI model lifecycle, including data collection, preprocessing, model training, evaluation, and deployment Stay updated with the latest advancements in AI and machine learning, incorporating best practices into projects Drive data-driven decision-making through advanced analytics and visualization techniques Ensure the security, scalability, and efficiency of AI solutions Research efforts … Science, Artificial Intelligence, or a related field Proven experience as an AI engineer or data scientist, with a track record of leading successful AI projects Proficiency in AI and machine learning frameworks and programming languages (e.g., Python) Strong expertise in data preprocessing, feature engineering, and model evaluation Excellent problem-solving and critical-thinking skills Effective leadership, communication, and … team management abilities A passion for staying at the forefront of AI and machine learning advancements Benefits Fast moving, challenging and unique business problems Attractive remuneration and performance incentives Strong learning and development plans for your career growth Great career development opportunities in a growing company International work environment and flat organization Competitive salary Seniority level Seniority More ❯

At Longshot Systems we're building advanced platforms for sports betting analytics and trading. We're hiring for Machine Learning Researchers within our fundamental modelling team. The primary goal of this team is to improve the predictive power of our models based on historical event data. The quality of our models is incredibly important to us and improvements … on our models directly impact company profitability. You will work closely with the CEO, CTO, and Team Lead to design, test, and implement new machine learning models in Python, continually improving our existing state-of-the-art solutions. Longshot is a small, focused company and so the role suits someone who wants to be involved in all aspects … have a high level of autonomy to research whichever methods you felt would be best suited to the problem at hand. A strong mathematical understanding of the fundamentals of Machine Learning and core statistics is very important for this role and ideally you'll have experience in doing research on cutting-edge models either in industry or academia. More ❯

organisation's ability to understand client behaviour, refine predictive models, and deliver actionable insights that influence key business outcomes. You will take on the responsibility of developing and optimising machine learning models, analysing complex datasets, and collaborating closely with cross-functional teams to integrate data solutions into broader business strategies! Embedded within a dynamic Data Science team, you … company's success. This role offers the opportunity to make a tangible difference and leave a lasting impact on the organisation's growth! Job Goals Design and implement advanced machine learning models to solve complex business problems. Optimise the performance of existing models and address weaknesses through detailed analysis. Collaborate with cross-functional teams to integrate analytics solutions … language such as Python, with experience in using Git for version control. Strong SQL skills and familiarity with databases like Redshift, Postgres, or Microsoft SQL Server. Solid understanding of machine learning algorithms, concepts, and applications, including regression, K-means, decision trees, neural networks, as well as exposure to generative AI and large language models (LLMs). Hands-on More ❯

11077SR1 £40k - 45k per year ML Ops Engineer - Perm - London Salary: £40,000 - £45,000 pa Remote or Hybrid if closer to London We are on the look out for an experienced Machine Learning Operations Enginnner (ML Ops Engineer) to join this growing team who have been awardedActuarial Software of the Year. The role in this mission is … art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. ML Ops Engineer Main Duties: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default … and ETL processes to ensure data availability and quality. Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review. ML Ops Engineer Skills Required: Experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using More ❯

/Masters or equivalent in Statistics, Machine Learning, or Artificial Intelligence with a passion for solving real-world problems and hands-on experience of using both traditional ML and cutting-edge Large Language Models in business settings. This is a high-impact role that blends hands-on model development with practical leadership in scaling ML/AI systems … machine learning and statistical methods to develop and implement models across diverse use cases, including credit, commercial, product, and operations, with a significant emphasis on credit risk. ML Ops Leadership: Define and execute an ML Ops framework to streamline model lifecycle management, including data ingestion, data transformation, model training, deployment, and monitoring. Collaborative Problem Solving: Work with commercial … and product teams to align ML solutions with business goals, ensuring risk considerations are integrated into new products and customer segments. Performance Tracking: Continuously monitor model performance and develop strategies to enhance accuracy and relevance, incorporating lessons learned into future iterations. Tooling & Technology: Evaluate and implement best-in-class tools and platforms for ML Ops, ensuring scalability and compliance with More ❯

a minimum of 1 day per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team in our latest blogs or … Applied Scientist in the Machine Learning Observability & Governance team, you will be instrumental in advancing Starling Bank's capabilities in safely and effectively exploiting AI and ML technologies. Your responsibilities will include: Pioneering Novel Methods: Lead the development and implementation of innovative research-driven methods to deepen our understanding of AI and ML model behaviour in a … externally (e.g., at conferences or through publications), to share advancements and foster a culture of continuous learning within the data practice. Collaborative Innovation: Work closely with data scientists, ML engineers, and other stakeholders to identify key challenges in ML observability and governance, and propose research-backed solutions. To succeed in this role, you should possess a strong academic foundation More ❯

Research Engineer: Graph Machine Learning Atman Labs, London About Atman Labs At Atman Labs we are building software to emulate proactive human expertise. Emulating human experts with deep knowledge and proactive assistance has largely been impossible to do via standalone Artificial Intelligence techniques. As an applied research and commercialization company we are deploying our products in a number … of our approach from proactive shopping assistance, to personal teachers to healthcare concierges and with this commercial focus advance our unique research that lies at the intersection of Reinforcement Learning rewards, Large Scale Knowledge Representation, and Predictive Models inspired by biological priors. The Next Frontier of Machine Reasoning: Web-scale Knowledge Graph Exploration using Reinforcement Learning Human … the-art in graph machine learning, with a focus on learning graph embeddings and link prediction problems. You have experience in training and tuning various graph ML algorithms including GNNs, Message Passing and Graph Transformers. Experience in building graph-based recommendation systems is a plus. You have 5+ years of programming experience in Python and have development More ❯

Machine Learning Engineer The Data + Science Team At Deliveroo we have a world-class data & science organisation, with a mission to enable the highest quality human and machine decision-making. We have over 200 Machine Learning Engineers, Data Scientists, Data Analysts, and Analytics Engineers working throughout the company in product, business and platform teams. … teams across all sides of our marketplace (consumer, delivery, restaurants, grocery, and retail). Our interview process is team-agnostic. As an MLE, you will develop the algorithmic and machine-learning systems that power Deliveroo. You will work in a cross-functional team alongside engineers, data scientists and product managers to develop systems that make automated decisions at … restaurants in optimising their presence on Deliveroo, for example by recommending that they improve their menus or photography, or add a popular dish. Requirements 3+ years' experience as a ML Engineer or Data Scientist 3+ years' experience in Python Experience productionising ML models Experience using tools like Git, Docker, Kubernetes, CircleCI You know the fundamentals of machine learning More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize ML pipelines, as well as put those pipelines into production. We work cross-functionally to shape long-term … the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation … domains Advise data teams on various data science topics such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally with the product and engineering teams to define priorities and influence the product roadmap What we look for: Experience building Generative AI applications More ❯

The world will be unrecognisable in 5 years. Machine learning models are driving our cars , testing our eyesight , detecting our cancer , giving sight to the blind , giving speech to the mute , and dictating what we consume, enjoy, and think . These AI systems are already an integral part of our lives and will shape our future as a … infinitely patient and leave no student behind. We'll augment our memories with foundation models -individually tailored to us through RLHF and connected directly to our thoughts via Brain-Machine Interfaces-blurring the lines between organic and machine intelligence and ushering in the next generation of human development. This future demands immense, globally accessible, uncensorable, computational power. Gensyn … is the machine learning compute protocol that translates machine learning compute into an always-on commodity resource-outside of centralised control and as ubiquitous as electricity-accelerating AI progress and ensuring that this revolutionary technology is accessible to all of humanity through a free market. Our Principles: AUTONOMY Don't ask for permission - we have a More ❯

are looking for an exceptional Science Manager to join our Applied Science team and help develop the next generation of edge models, optimize them, and co-design with custom ML hardware based on a revolutionary architecture. Work hard. Have fun. Make history. Key job responsibilities Manage a team of 5+ scientists working on quantize, prune, distill, and finetune Gen AI … in training (preferably pretraining) Gen AI models. Foster collaboration with the compiler team, fellow applied scientists in the finetuning team, hardware architects, and product teams to build the best ML-centric solutions for our devices. Support team publications in open source and represent Amazon at key ML conferences such as NeurIPS, ICLR, and MLSys. BASIC QUALIFICATIONS 3+ years of experience … managing scientists or machine learning engineers. Knowledge of ML, NLP, Information Retrieval, and Analytics. Knowledge of machine learning approaches and algorithms. PREFERRED QUALIFICATIONS Experience building machine learning models or developing algorithms for business applications. Experience building complex software systems involving deep learning, machine learning, and computer vision that have been successfully More ❯

that reduce the operational load for internal Prime Video builders and for this, you will need to develop personalized recommendations for their services. You will lead the design of machine learning models that scale to very large quantities of data across multiple dimensions. You will embody scientific rigor, designing and executing experiments to demonstrate the technical effectiveness and … from their research. Our position offers exceptional opportunities for every candidate to grow their technical and non-technical skills and make a global impact immediately. Key job responsibilities - Develop machine learning algorithms for high-scale recommendations problems. - Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative analysis and business … are expanding our remit to consume data from more sources to provide more holistic observability for our development teams. BASIC QUALIFICATIONS - Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine More ❯

Role Overview: This is an exciting opportunity to join our Consulting Department in Sheffield as a Machine Learning Developer , where you'll contribute to innovative, data-driven projects that help clients solve complex business challenges through AI and machine learning solutions. If you're passionate about AI and eager to apply your skills in a fast … understand requirements and iteratively design and develop solutions. Collaborative with product managers, technical teams. Create, test and iterate new and existing products and features. Designing and building Python/ML/OCR-based components. Not only supporting thedevelopment of the product, but also the full lifecycle including the deployment, testing and production support of the application. Required Experience: Strong experience … Intelligent document processing using traditional models and Generative AI - particularly in using open-source models for achieving business outcomes. Experience delivering to production in python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives. Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy More ❯

leading org built around fairness and sustainability within adtechis building products that can handle 400 billion auctions per day. Exceeding that of any Google or Amazon programmatic ad marketplace.The ML team is building products that help increase latency and speed. A globally distributed team with the bulk of the Data Science & Machine Learning org in Berlin. Their Executives … call the ML team the "secret sauce" to their evolution. What's in it for you? Salary £140-160k Hybrid Working environment Build at Scale - work on products that overshadow Google and Amazon searchscales AND see direct impact through visible KPI's Buy in from Execs - No headaches around trying to get the smallest thing approved. Work in an … goal for this Data Science team. Getting your team processes structuredand self sufficient is a key piece of the puzzle for this hire to be successful. 3. Data Science & ML: You need to know how these models work and all the different variables that can go wrong. Models outputs are not always 100% accurate. While not expecting you haveSpidey like More ❯

prediction, ranking and bidding for Amazon's programmatic advertising product. In this role you will work at the forefront of high scale low latency customer-facing advertising systems, mixing machine learning, game theory and feedback control. Your work will affect multi-billion dollar businesses, and you will be responsible for designing, testing and delivering significant breakthrough's for … in Amazon's advertisers and their objectives, and think long-term about how to turn those objectives into products and technical capabilities Understand the latest literature on auction theory, machine learning and measurement to guide strategic investment for the organization A day in the life Be immersed in Sponsored Display's auction data: candidate ads, objectives, bids and … prototype and validate new auction mechanisms or parameterizations Take technical leadership over turning prototypes into shopper- and advertiser-facing software Stay abreast of the latest trends and opportunities in machine learning, economics, auction theory and measurement Be an advocate and expert for SD's auction to leaders and stakeholders inside and outside advertising About the team Sponsored Display More ❯

Learning Scientist to join our Search & Ranking team in the UK. As part of the team, you will work alongside a Product Manager, Backend Engineers, and other ML Scientists, playing a key role in building innovative models to power Depop's search engine and ranking across the app. Responsibilities: Research, design, and deliver ML solutions to address problems … within the search & discovery space, such as: Learning-to-rank models Vector search & embedding models etc. Understand requirements from various partners across the business, designing machine learning solutions to solve business problems, such as: How can we surface relevant results for this search? How can we show users personalized results in real time? What is the right … team player with the ability to work with multi-functional teams, including technical and non-technical stakeholders. Passion for learning new skills and staying up-to-date with ML algorithms. Bonus points Experience with Databricks and PySpark. Experience with deep learning & large language models. Experience with traditional, semantic, and hybrid search frameworks (e.g., Elasticsearch). Experience working with More ❯

Machine Learning Engineer Join our client in beautiful Coventry, United Kingdom, as a Machine Learning Engineer . This is a fantastic chance to contribute your expertise in engineering to a dynamic team dedicated to pushing the boundaries of technology. The ideal candidate will have proven experience in engineering, with a strong understanding of machine learning … permanent role that offers personal and professional growth, this could be the perfect fit for you. If you are ready to make a difference and advance your career in machine learning, we welcome your application! Note : Looking for only UK Nationals and who can start with 4-6 Weeks Notice More ❯

Machine Learning Engineer Location: Remote Salary: £70K - £80K Data Idols are working with an exciting company who specialise in renewable energy solutions to hire a Machine Learning Engineer. You will be at the forefront of the cutting edge data platform evolution and will be empowered to make decisions and have impact. The Opportunity Within this role … as a Machine Learning Engineer you will play a critical part in shaping and implementing the data product strategy, you will work with stakeholders across the business and act as a lead within the Data Science function, mentoring and guiding team members. In this company, you have the freedom to have impact, you are empowered to have impact … and SQL Understanding of ETL/ELT Experience developing models If you are looking for a new challenge, then please submit your CV for initial screening and more details. Machine Learning Engineer More ❯

POSITION SUMMARY Our team is looking to add an ambitious Senior Machine Learning Engineer who works well in an extremely innovative and fast-paced environment. If you can translate complex problems into actionable insights, then please continue reading. WHAT YOU'LL DO The successful candidate will work with a team of UK (London) based developers driving the definition … performs intelligent analysis including but not limited to object detection, tracking, and recognition for law enforcement, public safety, and media entertainment applications. The work will involve developing novel deep learning models and algorithms for image and video analysis; object detection and tracking; cross-domain/cross-view object localization; person and vehicle re-identification and search; visual attribute recognition … and search in videos and images; vision-language multimodal self-labeling and self-supervised learning; human-in-the-loop hard negative mining for model incremental learning; LLM (Large Language Model) driven image data generation and data distribution augmentation; and uncertainty quantification for label noise minimization. WHAT YOU'LL NEED Minimum qualifications: PhD degree or equivalent algorithm testing and More ❯

Role : Project Manager – AI & Machine Learning Research Location: London, UK- Hybrid role Duration: 5 Months … Possible extension) We're seeking a Project Manager to support a high-impact, multidisciplinary AI research team working at the frontier of machine learning , generative AI , and ML agents . In this role, you’ll bring structure to complex technical initiatives, coordinate across diverse teams, and help ensure the success of innovative research programs that shape the future … Coordinate third-party dataset approvals, project reporting, and research documentation Facilitate communication across engineering, product, legal, and other cross-functional teams Lead project planning sessions and track milestones for ML agent-based research initiatives Provide visibility into progress using data-driven updates, risk tracking, and mitigation strategies Align project goals with team and organizational strategy, ensuring all stakeholders are informed More ❯

Royal Canin Global Data & Analytics Team who will accelerate the shaping and delivery of our Data & Analytics Agenda. The Machine Learning and AI Engineering Lead will oversee ML and AI solution development and deployment as a capability served across the end-to-end Data & Analytics solution portfolio. The role integral to the organization's mission of leveraging advanced … technologies to drive innovation and efficiency across the organisation. The role will work closely with the Data Science Lead to develop and execute an AI and ML roadmap aligned with business goals and requirements. What will be your key responsibilities? Serve as the technical lead for Generative AI and machine learning model deployment within RC D&A. Collaborate … with the Data Science team to design, prototype and build next generation ML and AI products and accelerators. Design, architect and review technical architecture for data science, machine learning and AI solutions and provide feedback for optimal implementation. Develop and oversee the implementation of an MLOps and LLMOps strategy. Align and contribute towards the wider Petcare MLOps strategy. 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 ❯