51 to 75 of 493 Machine Learning Jobs in London

Opportunity to work on emotionally intelligent AI avatars, transforming e-learning and customer experiences. Role: Computer Vision Engineer Location: London (Hybrid ) Salary: £80,000 (generous stock options) I'm hunting for innovative Computer Vision Engineers who are ready to reshape how humans and AI connect. What You'll Do … Develop High-Quality Code: Lead pipeline development, ensuring clean and efficient code. Build and Integrate Algorithms: Design and deploy custom computer vision algorithms. Drive ML Projects: Manage the full machine learning lifecycle for optimal performance. Collaborate and Improve: Participate in code reviews and team collaboration for continuous improvement. … Experience Requirements: Advanced degree (Master’s or PhD) in Computer Science, Engineering, or a related field. Over 3 years of experience in machine learning and computer vision, particularly with generative models. Strong Python skills and expertise in deep learning frameworks such as PyTorch. Familiarity with cloud tools more »

How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Data Science, AI, Machine Learning, Computer Vision, SLAM, 3D more »

insights in the property domain. This presents an exciting chance to work with an innovative and reputable PropertyTech scale-up, where data science and machine learning drive their core operations! THE ROLE Engage in diverse projects spanning segmentation, forecasting, propensity modelling, and recommender systems. Drive commercial value alongside more »

Up to £75k per annum - Perm Must have full rights to work – there is no VISA sponsorship VIQU has partnered with an education and learning institution to find a Head of Data and Integration. You will be managing a team of over 8 Data Officers. The role requires you … system integration Proficiency in SQL and other relational and non relational databases Data visualization (Tableau/PowerBI) Cloud database knowledge (AWS or Azure) Datamining, ML, AI Can simplify complex data into compelling and insightful stories Analytical and problem solving abilities Experience in Data flow management, data security management and data more »

I am currently looking to support a start-up client that is looking to improve their current ML and take ownership of the prompting moving forward. Ideally they are looking for an ML engineer with extensive exprience in the following: - Prompting a ML Model - Extensive experience with LLM's The more »

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will more »

and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence Machine Learning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »

and that partners with huge brands! They are looking for a Behavioural Data Scientist to join their team, working on high-impact, commercially driven machine learning models Responsibilities: Working closely within a team, to design and build models across NLP, clustering and regression You will collaborate closely with … facing experience How to apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Consultancy, Churn, Propensity more »

BettingJobs.com are currently recruiting US Sports Data Scientist based in London for a leading sports betting forecasting company. Responsibilities: Create statistical and machine learning models for different US Sports predictions Integrate your brand new models into production in our odds engine and maintain it Implement innovative algorithms to … Master in statistics, data science, computer science, mathematics or a related field Strong interest in modeling, probability and statistics (time series predictions, bayesian inference, machine learning among other hot topics) Experience forecasting US sport events Highly proficient in Python and the main data science libraries Interest in US more »

VBA Prior experience of the following is at least two of the following is essential: Client/customer interactions Optimisation Problems Statistical analysis or Machine Learning Experience or interest in the following fields would be highly beneficial: Electric Vehicles and Chargers Energy Storage Commercial vehicles Logistics Operations and more »

+ 12% bonus London - 1-2 days a week in office Join a dynamic team of Data Scientists working on high-impact, commercially driven machine learning models in the healthcare space! ROLE AND RESPONSIBILITIES Working closely within a team, to design and build models across forecasting and predictive more »

to develop deep business insights and architect key business metrics. You will partner with scientists to build forward-looking data experimentation, predictive modeling, and machine learning algorithms. The role is cross functional and will require working closely with a wide variety of stakeholders including senior members across engineering more »

They are looking for a quantitative researcher with experience of working within systematic equity or macro strategies, ranging from stat arb, event driven, or machine learning techniques. The ideal candidate will have experience in alpha research, systematic equity or macro strategies, be willing to join a collaborative setup … backtesting for systematic equity or macro strategies Demonstrated ability to conduct independent research using large data sets Conduct original quantitative alpha signal research (through ML/NLP techniques, stat arb or event driven) Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety more »

are delighted to be working with one of the most forward thinking Private Equity firms in the space. The organisation are increasingly relying on ML and automation to make key business decisions about investment direction (multi-million pound decisions), and after successful rounds have increased their overall portion of portfolio … under the control of the ML function. The organic growth in workload has meant that the company need to hire another Data Scientist to join their established Data Science function. We don’t need someone to have already worked within the Private Equity space, but a clear interest in Investing … and strong statistical background (which has been utilised in a commercial setting for a few years) are necessary. Responsibilities Develop and deploy innovative ML & statistical models which will impact core investment decisions. Communicate ideas and findings to Investment team stakeholders. Use ML to explore financial Data and conduct wider research more »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … translating your ideas and coded models into trades. Responsibilities: Have access to large data sets and industry-leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. … field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one deep learning framework. more »

Machine Learning Engineer (one day a week in the central London office) This role is a unique opportunity to combine technical challenges with creativity in a collaborative, high-standard work environment. By joining this company, you'll not only be part of a creative and open work culture … of Machine Learning Engineer will include: Develop and deploy machine learning algorithms using Python, addressing complex sports analytics problems. Integrate ML systems into existing infrastructure, leveraging cloud services, Docker and Kubernetes. Maintain and improve ML models, employing frameworks like PyTorch and TensorFlow. Follow Agile methodologies, ensuring … Engineer, your background will include: A minimum of fours years industry experience in machine learning. Familiarity with cloud computing, data pipelines, and distributed ML technologies. Strong programming skills in Python, and experience with ML frameworks. Knowledge in Agile methodologies, CI/CD tools (e.g., GitHub Actions, Jenkins). Please more »

MLOps Engineer into their team. This company are looking for an experienced MLOps Engineer to play a key role in optimizing and scaling our machine learning operations. The successful candidate will work closely with the data scientists, software engineers, and IT professionals to deploy, manage, and monitor machine … deployment. Implement monitoring and alerting systems to ensure the performance and reliability of deployed models. Optimize infrastructure and resources to support scalable and efficient ML operations. Stay current with industry trends and best practices in ML Ops and recommend improvements to existing processes. Provide technical support and troubleshooting for ML … related issues. Requirements: Bachelor’s degree in computer science, Engineering, or related field; advanced degree preferred. 2+ years’ experience in ML Ops, DevOps, or a related field. Solid understanding of machine learning concepts and techniques. Proficiency in programming languages such as Python, Java, or Scala. Experience with cloud more »

Machine Learning Engineer (LLM) (Visit the London office x3 days a week) Xcede are delighted to be working with one of the world’s most prestigious research & publishing organisations. The organisation have been operating for over 25 years, conducting quantitative and qualitative research to help rank, highlight, and … of data types that the company have access to, from PDFs, Word Docs, Audio files, JSON, etc. Requirements Significant commercial experience building AI/ML tools (ideally within a few years of building LLM based applications). Strong understanding of ML fundamentals (including Supervised & Unsupervised algorithms) Significant NLP, LLM, and more »

primary market research expertise Know the methodology for each analytic techniques and communicate data insights and findings from them Drive standardization and automation through ML-ops. Competencies: Degree in Engineering/Maths/Physics 5 years of experience with common marketing data science analyses, such as e.g. conjoints, max-diffs more »

MACHINE LEARNING ENGINEER £75,000 HYBRID - London COMPANY: We are looking for a Machine Learning Engineer to join a leading Marketing Consultancy. They are looking to grow to be an even bigger player within the … industry through Data scientists/Engineering and Machine Learning Ops' best practices. You will be working on Recommendation Systems and Deploying complex ML Models. ROLE: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow … with stakeholders. REQUIREMENTS: You need to have a MSc or PhD level in Stem subject. You must have proven knowledge in the implementation of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka more »

are looking for a Lead Machine Learning Engineer to join their team, working a part of the Data Science team to integrate ML technologies into internal business processes. Responsibilities: Lead the design, development, and deployment of ML models and pipelines, in close collaboration with Data Scientists, ML Engineers … Drive the adoption of best practices in code quality, design, scalability, and maintainability. Mentor and upskill members off the team. Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep … Requirements: BSc or MSc in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Good knowledge of ML/AI state-of-the-art, principles, practical applications and limitations Technical leadership, strong communication skills, mentoring experience How to Apply: Please register your interest more »

a Technical Lead profile to manage the MLOps unit within the Intelligent Systems Group. The unit is currently horizontal, it includes both Platform and Machine Learning engineers and it is responsible for supporting data scientists in deploying, maintaining and monitoring an increasing number of Python-based microservices, ETL … team and the emotional intelligence required to work with human capital are a must. Confident, but realistic, in their own skills and open to learning new approaches and solutions. Strong software engineering experience with Python. Experience working on production-level microservices (Docker/Kubernetes) and cloud infrastructure. Experience working … with Databases, Postgres, Redshift, Neo4j would be a plus. Skills Computer Science or Software Engineering degree/BSc or higher Experience leading a Machine Learning/MLOps team Low ego management style Strong Python coding experience Experience with the SQL querying language Experience working with Docker both in more »

prediction targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deep learning and advanced machine learning more »

We’re looking for a Senior Data Scientist who brings with them a wealth of experience in Data Science with a strong background in Machine Learning experience and Data Engineering. The client are working on a number of large projects that could easily take this position past the … me! Experience needed for this position (Please read carefully) Senior Data Scientist with over 5+ years of experience Python experience SQL experience AWS experience Machine Learning experience Predictive Modelling Clear and concise communication skills Senior Data Scientist Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA more »

field. Proficient in handling behavioural data and modelling. Prior experience in the Health/Pharma industry or domain expertise. Expertise in developing and deploying machine learning models. Proficiency in programming languages such as Python or R. Strong communication skills, capable of effectively communicating technical concepts to diverse audiences. more »