126 to 150 of 2,237 Machine Learning Jobs in England

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 ❯

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 ❯

Tax Technology and Transformation Consulting team as a Data Science Manager. In this role, you will lead a team of data scientists and AI engineers to develop and implement machine learning and generative AI solutions that enhance tax compliance and strategy. Your hands-on experience will be crucial in guiding your team to explore how emerging technologies can … problems. Collaborate with cross-functional teams and clients to gather requirements and translate them into actionable technical specifications. Oversee the development and maintenance of production-grade Python applications for machine learning and AI. Drive the application of statistical analysis and machine learning techniques to derive insights from large datasets. Guide the development of natural language processing … practices in code development and collaboration. To Qualify for the Role, You Must Have: As a Data Science manager, you should have strong commercial development experience in AI/ML, with a proven track record as a hands-on data scientist, delivering projects end to end, and experience in leading teams. Strong understanding of AI/ML algorithms, data science More ❯

Scientist to help improve the performance of our targeting and optimization products. The Applied Science team at Sojern develops services and pipelines to optimize advertising campaign performance and applies machine learning at scale for thousands … of customers. We utilize a range of algorithms and methods to do this including: Bayesian statistics and supervised learning to model conversion rates and revenue Scaled AI/ML with Tensorflow/Vertex AI to model a travelers propensity to book Time series forecasting As a part of the Science and Optimization team, we deliver through the full data … this role requires availability to work later business hours, with a regular schedule ending at 7:00 PM Mon-Thu. What you will do: Design and maintain statistical and machine learning models to optimize campaign performance Model key performance advertising metrics like conversion rates and click through rates, and use those metrics to automate estimation of campaign bids More ❯

endeavors. In this exciting position, you'll analyze massive data sets and distill complex information into concise and valuable offerings for investors. Your responsibilities will involve the development of machine learning applications, exploring language models, and other data products. Additionally, you will create original investment research content that drives better outcomes for our clients. If you possess exceptional … interpersonal, communication, and machine learning skills, coupled with a strong quantitative mindset, this is the ideal role for you. Join us in our London office and be part of revolutionizing investment research in the financial industry. Job Responsibilities: Conduct cutting-edge research to develop innovative AI-driven solutions that enhance client outcomes. Leverage advanced large language models, including … as a subject-matter expert, driving the adoption and implementation of AI solutions across Morningstar's business units. Requirements: Minimum 3 years of hands-on experience implementing AI/machine learning solutions, including RAG , NLP, AI Agents , and transformer models, in commercial applications. Advanced degree (Master's/PhD preferred) in a quantitative, AI or computational field such More ❯

Location: London Flexible hybrid working arrangements available. Please discuss options with your recruiter. Grade: GG10-GG11 Referral Bonus: 5,000 Are you passionate about cutting-edge AI/ML technology? Are you motivated to find innovative solutions to complex challenges as part of a team dedicated to national security? Join BAE Systems as an experienced Machine Learning (ML … Engineer. As part of our AI team, you will work with National Security Customers to understand their challenges and identify where AI/ML solutions can add value. You will lead prototype development and be responsible for designing, implementing, and deploying AI solutions. This role requires a strong foundation in software engineering, statistics, and AI/ML concepts, with an … awareness of the latest advancements in AI and ML technologies. You will be part of a multidisciplinary AI team focused on developing AI propositions that benefit our customers. Collaborating with data scientists, AI strategists, and delivery managers, you will engage in activities aligned with our AI Strategy, which includes: Customer Focus: Understanding needs and measuring AI value Market Positioning: Establishing More ❯

Processing, Image Recognition, and Recommendation solutions to maximise the product's performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with … complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities Proactive approach with team members and clients Continuous improvement of core AI services … Take ownership of the services within your expertise Contribute to the ongoing innovation R&D projects Implement and maintain ML Infrastructure Requirements Degree in relevant field with 3+ years of industry experience Strong Technical Skills: Python, Production APIs, Infrastructure as Code, AWS or other Cloud provider Deep understanding of Natural Language Processing/Generative AI/Image Recognition Extensive experience More ❯

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to More ❯

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to More ❯

About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to … Retrieval-Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies 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 #J-18808-Ljbffr More ❯

downstream clients. Design and implement realtime sentimentanalysis and NLP pipelines for social feeds (Twitter, Reddit, Discord, Telegram, etc.), covering ingestion, tokenization, entity extraction, and sentiment scoring. Develop and train ML models, starting with prebuilt services and advancing to custom transformer architectures, to continuously improve the accuracy and relevance of sentiment signals. Collaborate with cross-functional teams (frontend, design, marketing, product … to roadmap and deliver new ML-driven insights and to design intuitive consumer-facing dashboards and alert systems that visualize real-time mindshare and sentiment metrics aligned with product goals. Ensure data security and compliance, particularly around usergenerated content, API keys, and any PII in social media streams. Maintain code and model quality: author clean, efficient, and maintainable code; implement … comprehensive testing and debugging; and lead code reviews, share best practices, and mentor teammates. Knowledge & Experience 5+ years in ML or data engineering roles, building production-grade NLP or sentiment systems. Proven track record building low-latency, high-throughput data pipelines and APIs using Go, Python, or similar. Hands-on NLP experience with both pre-built services (e.g., AWS Comprehend More ❯

engineering leader in Machine Learning to join us as a Senior Principal Software Engineer. You will be responsible for shaping, developing and delivering machine learning (ML) and artificial intelligence (AI) solutions. This will help create robust, scalable and innovative personalisation systems that power our digital services. Interview process Two stage interview process Technical task for shortlisted … 4th September this may be subject to change") Main Responsibilities • Provide technical leadership and mentoring, set technical standards and define best practice. • Ensure reliability, scalability and maintainability of our ML capabilities. • Cross functional collaboration with product, architecture and data science • Ensure that machine learning solutions are effectively integrated into products and deliver measurable, sustainable business value • Identify and … champion innovation within teams • Active participant in Industry ML forums and communities Are you the right candidate? • Excellent communication skills and experience with managing multi-disciplinary stakeholders. • Extensive experience setting technical direction across multiple teams. • Extensive experience in large scale machine learning, including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS More ❯

should be used to solve customer problems. Lead the technical discovery to understand the alignment between what Kumo offers and prospective customer expectations. Conduct product demos of Kumo solving ML problems in a variety of verticals, including finance/fraud, growth/marketing, personalization/commerce, and forecasting/optimization. Guide the customer to achieve meaningful wins on high-impact … ML problems, by leveraging your problem-solving skills, data science knowledge, and industry experience. Be hands-on, to help customers overcome challenges they may encounter in achieving sufficient model performance, or integrating Kumo into their production systems. Lead architecture reviews and security assessments. Maintain meaningful relationships with technical influencers and champions within ML teams, both pre and post-sale. Educate … we can drive repeatable successes in PoCs. Generate Kumo platform educational materials to disseminate amongst current users or prospects. Your Foundation: Someone who finds genuine satisfaction in solving customer ML problems and helping them deliver value to the business. 5+ years of relevant professional experience working with external customers in deploying AI/ML/data science solutions in production More ❯

progresses scientific understanding though external publications and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve … focus on government and commercial partners. Who we are looking for A track record working with high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety … with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability) Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python More ❯

will contribute to both external publications, and Faculty's commercial ambition to build safe AI systems. This is a great opportunity to join a small, high agency team of machine learning researchers and practitioners applying data science and machine learning to business problems in the real world. What you'll be doing Your role will evolve … focus on government and commercial partners. Who we are looking for A proven track record of high-impact AI research, evidenced by top-tier academic publications (ideally in top machine learning or NLP conferences ACL/Neurips, ICML, ICLR, AAAI) or equivalent experience (e.g. within model providers labs). Deep domain knowledge in language models and AI safety … with the ability to contribute well-informed views about the differential value, and tractability, of different parts of the traditional AI Safety research agenda, or other areas of machine learning (e.g. explainability) Practical experience of machine learning, with a focus on areas such as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python More ❯

can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining … Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data More ❯

can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL/Python) Ad-hoc data mining … Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees) Experience with computational simulation/modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python, including relevant libraries for More ❯

ways, discovering therapies to treat some of life's most devastating diseases. We leverage single-cell multi-omics directly from patient tissue, functional assays, and machine learning (ML) to drive disease understanding - from cause to cure. This year, we embarked on an exciting dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing our own internal … osteoporosis programme. By combining our cutting-edge ML capabilities with GSK's deep expertise in drug discovery, this partnership underscores our commitment to pioneering science and delivering impactful therapies to patients. We are rapidly scaling our technology and discovery teams, offering a unique opportunity to join one of the most innovative TechBio companies. Be part of our dynamic, interdisciplinary teams … for causal coherence, mechanistic fidelity, and utility in guiding real-world interventions. Communicate findings clearly across disciplinary boundaries, and contribute to high-impact publications. Professionally, you have PhD in ML, statistics, computer science or a related quantitative field. Deep expertise in causal inference, such as causal graphical models, counterfactual reasoning, or invariant representation learning. Strong background in one or more More ❯

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

chance to shape both models and how we think about fraud detection as a wider team Responsibilities: You will be part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions … and non-technical stakeholders Demonstrable experience deploying machine learning solutions in a production environment, and familiarity with version controls systems (e.g. Git) Desirables: Experience with cloud-based ML infrastructure, particularly GCP (Vertex AI, BigQuery), or equivalent (e.g. AWS, Azure) Exposure to orchestration tools such as Kubeflow pipelines or Airflow Familiarity with DBT or similar tools for modelling data … in data warehouses Desire to build interpretable and explainable ML models (using techniques such as SHAP) Desire to quantify the level of fairness and bias machine learning models Enthusiasm for improving fraud detection systems and a proactive, problem-solving mindset Interview process Interviewing is a two way process and we want you to have the time and opportunity More ❯

for someone excited about creating practical, scalable AI applications within a fast-moving technology company. Responsibilities Responsible for identifying, collecting, cleaning, and enriching data for use in AI and ML pipelines. Perform detailed data analysis to extract meaningful insights and support model design decisions. Build, experiment with, and optimize machine learning models to meet performance requirements. Conduct quality … metrics. Support the broader adoption of AI across the organization and contributes to the AI Guild community. Propose AI-first strategies and contribute ideas to address business challenges through machine learning. Communicate technical recommendations and project outcomes clearly and appropriately to varied internal stakeholders. Keep up to date with developments in artificial intelligence, machine learning, deep learning … learning frameworks such as Scikit-learn, Keras, and PyTorch, with additional familiarity with MLFlow and AzureML seen as a positive. Have working knowledge of CI/CD practices, ML Ops, ML pipelines, automated testing, and platforms such as AzureML, Google Cloud, or AWS. Possess hands-on experience in using and developing LLM-powered applications, including retrieval-augmented generation (RAG More ❯