76 to 100 of 3,834 Machine Learning Jobs in England

, multi-agent systems, and simulation at scale? We want to hear from you! At Locus Robotics, we're developing advanced simulation tools and ML systems to optimize the behavior of large autonomous fleets in dynamic environments. In this role, you will work on cutting-edge reinforcement learning (RL … to drive innovation in logistics, robotics, and beyond. You'll collaborate with a highly skilled team of engineers and data scientists to develop scalable ML models and deploy them into production environments using modern MLOps practices. If you're excited about solving real-world optimization problems, building high-performance ML … machine learning models with existing infrastructure and data pipelines. Stay up to date with advancements in reinforcement learning, distributed computing, and ML frameworks to drive innovation in the organization. Work with cloud-based solutions (AWS, GCP, or Azure) to deploy and manage machine learning workloads More ❯

Job Title: Research Scientist - AI & ML BAE Systems Digital Intelligence is home to 4,500 digital, cyber and intelligence experts. We work collaboratively across 10 countries to collect, connect and understand complex data, so that governments, nation states, armed forces and commercial businesses can unlock digital advantage in the most … mining, knowledge graphs and/or graph machine learning and with a vision on how to develop solutions for practical applications of ML in these domains. You will have a proven record of successful proposal writing and delivery to funding bodies relevant to the Defence sector. You should … have existing skills in Machine Learning (ML), will need to be a proficient programmer in Python, with extensive experience in the use of libraries and toolboxes to support efficient development. Typical Responsibilities: Propose and lead novel research in given topic areas, often in partnership with leading UK Universities. More ❯

with Data Engineering, Platform, and Architecture teams to improve and develop new products, integrations, tools, and technologies. Work with data scientists to productionise various ML models, ensuring the code follows best practices; is effective, scalable, and conforms to CTMs Engineering & Tech standards. Follow best practices for the management and interrogation … new data and the refinement of existing data sources. Help manage day-to-day operations of the Data Science & Analytics platform (Databricks), and other ML Solutions built & operated tech across various platforms. Coordination and management of small to medium sized machine learning projects in small cross-functional squads. … What we'd like to see from you: Strong understanding of a wide range of ML algorithms. Understanding of MLOps practices for managing and monitoring models in production. Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Proficiency in programming languages such as Python, SQL, and R. Knowledge of More ❯

Hours: Full time Reports to: Defect Detection Team Lead Location: Exeter or Bristol, minimum of 3 days in the office. Role Overview: As a Machine Learning Engineer at DeGould you will be responsible for building and maintaining our labelling, training and production inference data pipelines to produce high … models and services to power our automated vehicle inspection product. Following MLOps and DevOps best practices you will build and deploy bespoke computer vision ML models using a service-oriented architecture in AWS, GCP and on Edge to process photos from DeGould's ultra high-resolution imaging photo booths. The … learning, machine learning, transfer learning, CNNs and transformers, such as Detectron, ConvNext, DETR, DINO or similar. Technical knowledge of relevant ML performance metrics and how to apply them to monitor models. Strong knowledge of Python (such as numpy, pandas, matplotlib, streamlit, and opencv). Strong knowledge More ❯

Machine Learning Researcher - Deep Tech A highly skilled Machine Learning Researcher is required to join an innovative deep-tech bio company, focusing on leading development efforts in generative AI, including diffusion models, language models, and novel algorithm development. This role is ideal for someone who thrives … developing proprietary algorithms that identify and accelerate the discovery of promising drug candidates. Their team is pushing the boundaries of what's possible in machine learning, working on fundamental advancements that have real-world impact. What You'll Do: Design and develop novel machine learning algorithms … and ICLR. Shape and implement proprietary AI solutions that redefine how drug candidates are identified and validated. Who You Are: PhD in Artificial Intelligence, Machine Learning, Computer Science, or a related discipline. A strong publication record as a first author in leading AI venues (e.g., NeurIPS, ICML, ICLR More ❯

environment that encourages equality, innovation, and professional growth. Our client is a cutting-edge biotech company based in Cambridge, UK, leveraging artificial intelligence and machine learning to revolutionize drug discovery and therapeutic development. They are at the forefront of integrating computational approaches with biological systems to accelerate research … Interpret and visualize AI-driven predictions to guide experimental design and decision-making. Stay up to date with the latest advancements in AI/ML and computational biology, contributing to internal knowledge-sharing and innovation. Requirements PhD or MSc in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or … particularly in deep learning, probabilistic modeling, and/or NLP. Proficiency in programming languages such as Python, R, or Julia, with experience using ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Familiarity with biological datasets such as genomic, transcriptomic, proteomic, or imaging data. Experience working with large-scale datasets More ❯

Sr. Machine Learning Engineer, Amazon Music Search We are looking for a highly-skilled Senior Machine Learning Engineer to lead the development and implementation of advanced technologies to push the boundaries of efficient training and inference for Deep Learning and Generative Artificial Intelligence (GenAI) models. … As a machine learning engineer on the Amazon Music Search team, you will collaborate with scientists on developing and evaluating machine learning models (Search Relevancy & Ranking) using large datasets such as meta-data and search queries to improve the customer experience through better search results, or … search stack Collaborate closely with the applied scientists and software engineers to bring research to production Envision, lead, and support the development of novel ML systems, product integrations, and performance optimizations Lead, mentor, challenge and grow enthusiastic, collaborative software engineers and applied scientists across the organization About the team Amazon More ❯

Applied Science Manager, Alexa Conversational Modeling & Learning Job ID: Evi Technologies Limited As a Applied Science Manager within Alexa in the Conversational Modeling & Learning Org, you will bring business and industry context to science and technology decisions. You will set the standard for scientific excellence for your team … build LLMs including all phases (CPT, SFT, LHF) that works at Alexa scale. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a … to impact the customer experience, design, architecture, and implementation of a product used every day by people you know. BASIC QUALIFICATIONS PhD Knowledge of ML, NLP, Information Retrieval and Analytics Experience directly managing scientists or machine learning engineers Experience programming in Java, C++, Python or related language Experience More ❯

Machine Learning Engineer (Contract) - £550/£600 PD (Inside IR35) An excellent opportunity has arisen with a global brand for a Contract Machine Learning Engineer. This role focuses on natural language processing and network analysis, leveraging open-source software in a highly collaborative environment. You'll … contribute to building, maintaining, and enhancing their data science capabilities within the organization. Role and Responsibilities: Design, develop, and evaluate machine learning models, with a focus on natural language processing Translate business challenges into data science solutions and communicate complex findings to stakeholders Collaborate in a cross-functional … team by sharing ideas, conducting code reviews, and enhancing internal data science tools Identify opportunities where machine learning can support data-driven decision making Foster a diverse and inclusive culture by working across departments and contributing to knowledge sharing Essential Skills & Experience: Strong proficiency in Python and Graph More ❯

the energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT & Digital department. This … Participate in code reviews to help improve code quality. Technologies/Tools we use: Python, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, SQL, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs. About You: Hands-on industry experience in some combination … of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following technologies: Python More ❯

the energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT & Digital department. This … Participate in code reviews to help improve code quality. Technologies/Tools we use: Python, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, SQL, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs. About You Hands-on industry experience in some combination … of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following technologies: Python More ❯

to-day tasks. As a Sr. Machine Learning Engineer, you will need to: Develop a state of the art data science and ML runtime stack in a multi-cloud environment. Lead on software engineering and software design for ML components. Understand and use computer science fundamentals, including data … infrastructure and pipelines needed to bring models and code into production. Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created. Build algorithms based on statistical modelling procedures and maintain scalable machine learning solutions in production. Apply machine learning algorithms and libraries. Research and implement best practices to improve the existing machine learning infrastructure. Collaborate with data engineers, application programmers, and data scientists. Desired skills: Qualification in a related field such as computer science, statistics, electrical engineering, mathematics, or physical sciences. Self-starter with More ❯

PRINCIPAL MACHINE LEARNING INFRASTRUCTURE (ML PLATFORM AND OPERATIONS) - ENGINEERS: Bullisher is a data-centric fintech solution provider in the aerospace and defense industry for institutional-level investors, looking to disrupt and revolutionize a $3 trillion industry. We spearhead an industry-leading Blackbox to facilitate and administer trade agreements … PLATFORM DESIGNED TO HANDLE COMPLEX WORKLOADS. This involves a machine learning development system, a specialized infrastructure needed to deliver complex AI/ML workloads focused on training deep learning models to improve distributed training and hyperparameter optimization techniques across GPU clusters without rewriting code or restructuring infrastructure. … Areas to focus on will include a custom-built internal ML software infrastructure, enabling AI and workloads to run on the same infrastructure. This is a software-only development project for MULTIPLE CROSS DOMAIN PLATFORMS. The role focuses on a solution-level-based ML development training, including hardware, software, validated More ❯

seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data … Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance … with ML best practices What Success Looks Like: Building effective and efficient Data Science models that deliver measurable business value Ensuring Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop More ❯

to enhance performance optimization, predictive maintenance, and real-time decision-making capabilities. The ideal candidate will have a strong background in modeling, AI/ML algorithms, control systems, and energy applications. They will be responsible for designing, implementing, and enhancing machine learning models and AI systems to optimize … and results to ensure transparency and reproducibility. Related Experience: 3+ years of experience in machine learning development, simulation modeling, and AI/ML applications within the energy or BESS industry. Demonstrated experience in predictive maintenance, optimization algorithms, and failure analysis for energy storage systems. Familiarity with edge computing … or a related field with a focus on energy systems or BESS. A minimum of 3 years of hands-on experience in AI/ML, digital twin development, or simulation modeling for BESS. Certification in AI/ML or energy storage systems is a plus. Excellent project management skills with More ❯

Quantitative Researcher (Machine Learning) We are seeking a talented Quantitative Researcher to join our competitive global quantitative trading team at Geneva Trading. In this role, you'll research, develop, and deploy automated intraday and mid-frequency trading strategies using machine learning models and advanced quantitative methods. … innovative models and strategies, evaluating results rigorously. Develop production-ready code for live trading integration, collaborating with developers. Enhance research and trading infrastructure through machine learning methods, including data preprocessing, feature selection, model training, and backtesting. Monitor live trading strategies for performance issues such as covariate shift. Integrate … Stay current with industry advancements through research, competitions, and online communities. Required Qualifications: Academic Background : Master's or PhD in a STEM field (e.g., Machine Learning, Computer Science, Physics). Experience : 2+ years of applied machine learning experience in a commercial or academic setting, or 2+ More ❯

Senior Machine Learning Engineer London (Hybrid) Very Competitive Salary, Bonus, Equity Our client, an innovative and rapidly expanding scale-up looking for a talented Machine Learning Engineer to join their team in London. This is an exciting opportunity to work on transformative AI-driven products in … a dynamic environment backed by significant investment. Key Responsibilities: Develop and deploy machine learning models for real-world applications. … Collaborate with cross-functional teams to define product requirements and integrate models into production systems. Work with large datasets to build scalable and efficient ML solutions. Conduct experiments, evaluate models, and continuously improve performance. Requirements: Education : BSc, MSc, or PhD in Computer Science, AI, Mathematics, or related field from a More ❯

Senior Machine Learning Engineer London (Hybrid) Very Competitive Salary, Bonus, Equity Our client, an innovative and rapidly expanding scale-up looking for a talented Machine Learning Engineer to join their team in London. This is an exciting opportunity to work on transformative AI-driven products in … a dynamic environment backed by significant investment. Key Responsibilities: Develop and deploy machine learning models for real-world applications. … Collaborate with cross-functional teams to define product requirements and integrate models into production systems. Work with large datasets to build scalable and efficient ML solutions. Conduct experiments, evaluate models, and continuously improve performance. Requirements: Education : BSc, MSc, or PhD in Computer Science, AI, Mathematics, or related field from a More ❯

These professional services engagements will focus on customer solutions such as Data and Analytics, Artificial Intelligence (AI) and GenerativeAI (GenAI), Machine Learning (ML), HPC and more. You will join as part of the AWS Professional Services (ProServe) Associate to Consultant (A2C), which focuses on the accelerate career development … thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our … C++, Node.js, or similar object-oriented language. PREFERRED QUALIFICATIONS 1+ years of experience of Data platform implementation Hands on experience with building data or machine learning pipeline Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop) Current experience with hands-on implementation and performance More ❯

closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow … on various Cloud (and related) technologies that will help you to develop your own toolkit. Requirements Software Engineering: Proficiency in programming languages used in ML, such as Python/Java. Knowledge of software development best practices and methodologies. Experience with version control systems (e.g., Git). Familiarity with CI/… structures and algorithms. Ability to design and develop scalable, efficient, and maintainable software systems. Experience with microservice architecture, API development. Machine Learning (ML): Deep understanding of machine learning principles, algorithms, and techniques. Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache More ❯

closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. We hire based on personality, potential, and enthusiasm to make a difference, then we give you the tools and skills you need to follow … on various Cloud (and related) technologies that will help you to develop your own toolkit. Requirements Software Engineering: • Proficiency in programming languages used in ML, such as Python/Java. • Knowledge of software development best practices and methodologies. • Experience with version control systems (e.g., Git). • Familiarity with CI/… structures and algorithms. • Ability to design and develop scalable, efficient, and maintainable software systems. • Experience with microservice architecture, API development. Machine Learning (ML): • Deep understanding of machine learning principles, algorithms, and techniques. • Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache More ❯

assistant. General Description: We are looking for scientists who are passionate about data and are eager to tackle big challenges using Data Science and Machine Learning. The main focus of this role is to solve non-trivial business problems in Fortune 500 companies. This person will mostly work with … into structured data problems. Capture and explore complex data sets (structured and unstructured data). Prototype models of different complexity (business analysis, statistical models, machine learning) using modern data science tools (Notebooks, Clouds). Design and implementation of machine learning models, metrics, and application of feature … engineering techniques applied to customer problems. Support pre-sales in business opportunities and the engineering teams in the implementation of production-ready solutions involving machine learning. Evaluate hypotheses and the impact of machine learning algorithms on key business metrics, including simulations and offline/online experimentation (via More ❯

Would you thrive in a fast-scaling business, solving novel problems in collaborative teams? Are you interested in developing machine learning products from conception to deployment? If so, you could be the person we are searching for. We are an IoT innovator working to scale our product deployments … passionate about developing technology that will change paradigms and contribute to a sustainable future. We are building Virtual Energy Infrastructure using our world-leading machine learning algorithms. We’re looking for a Machine Learning Research Engineer to work with us in our Data Science and AI … and any legal or ethical considerations – and then taking these products from conception to deployment. This will require strong software engineering expertise and excellent machine learning proficiency. The ideal candidate brings not just technical skills, but an intellectual curiosity and eagerness to expand their knowledge across diverse technical More ❯

One of Europe's most exciting Analytics software companies is looking to hire a Machine Learning Engineer. If you are a Machine Learning expert and are interested in working on automation, AI, NLP & Data Visualisation software products for big corporates, then this role might be for … expanding team of experts providing valuable solutions to some of the world's biggest organisations around Risk Management & Cyber Security. Responsibilities: Develop and implement machine learning algorithms. Collaborate with team members to solve complex problems through technical solutions. Contribute to the design and development of software products. Minimum … Requirements: Strong STEM degree, ideally MSc level & above. Good knowledge & experience of Machine Learning algorithms. Strong Software Engineering skills - ideally Python. Ability to articulate how you have solved complex problems in the past through technical solutions. You will join a hugely talented team of Machine Learning More ❯

them. Location London Job type Permanent As a Machine Learning Engineer in our Content Understanding teams, you will help define and build ML deployed at scale in support of a broad range of use cases driving value in media and catalog understanding. Here are some examples of the … royalties Video and image tagging to understand what is happening in any video on Spotify for moderation and recommendations Audiobook Author attribution using graph ML approaches for search and recommendations Categorizing tracks in the catalog to know which are functional content or music tracks leveraged in royalty calculations and in … that enrich and improve our listeners' experience on the platform Contribute to designing, building, evaluating, shipping, and refining Spotify's product by hands-on ML development Prototype new approaches and production-ize solutions at scale for our hundreds of millions of active users Help drive optimization, testing, and tooling to More ❯