26 to 50 of 492 Machine Learning Jobs in London

accuracy. Stay up to date with the latest AI technologies and techniques, driving continuous innovation. REQUIREMENTS: Strong software engineering skills, with a focus on machine learning and AI. Experience deploying foundational Language Models (SLM/LLMs) in production environments. Proficiency in deploying machine learning solutions at … search, retrieval, and reranking. Ability to collaborate with various stakeholders, including backend engineers, front-end engineers, and product designers. Additional advantage for experience in ML Ops and deployment across cloud platforms (AWS, GCP, Azure). Practical experience with machine learning techniques for search and retrieval, such as Learning more »

Research and Development : Drive the creation and implementation of AI models for RegTech, Credit Intelligence, and Personalised Products. Develop Advanced Solutions : Build and deploy machine learning models, behavioral analytics, blockchain solutions, and predictive analytics to address key fintech challenges. Collaborate and Innovate : Work closely with cross-functional teams … Finz at industry events. Mentor and Guide : Provide leadership and mentorship to junior AI researchers and data scientists. Key Qualifications: PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field. Extensive knowledge of machine learning algorithms, statistical methods, and AI techniques. Proficiency … as Python, R, or similar, and experience with machine learning frameworks (TensorFlow, PyTorch, etc.). Proven track record of conducting AI/ML research, with publications in top-tier conferences and journals. Familiarity with the fintech industry, including understanding of financial products, services, and regulatory requirements. Excellent written more »

of the largest Healthcare organisations across the UK! They are looking for Senior Data Scientist to join their team, working on high-impact, bespoke machine learning models as part of a high-performing team leveraging advanced analytics techniques to extract insights from complex dataset. Responsibilities: Working closely within … a team, to design and build advanced performance metrics machine learning models. Providing advice and upskilling juniors on statistical methods, healthcare and science data, products, data manipulation, and dashboarding products. Developing new data-driven solutions and approaches to support new commercial solutions and project proposals Stay actively informed … Excellent communication skills with proven experience working with stakeholders or clients Industry specific experience in either consulting or healthcare Experience building capacity and demand machine learning models. How to Apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords more »

in designing, developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machine learning, natural language processing, and software development, with hands-on experience in implementing GenAI technologies. Key Responsibilities Develop and Implement GenAI Solutions: Design … Train and fine-tune AI models, ensuring optimal performance and accuracy. Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts … Document methodologies, processes, and results. Prepare reports and presentations for stakeholders. Qualifications Education: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field. Ph.D. is a plus. Experience: Minimum of 10 years of experience in data science, machine learning more »

to join their well established Data Science function acting as a Senior Machine Learning Engineer – this will mean that you focus on ML infrastructure and deployment methods. They’re an AWS house, so massive bonus points for experience in that kind of environment – particularly serverless/Lambda. Responsibilities … into initial model design & development Help train and mentor others when it comes to best practice around engineering & model deployment methods Ensure that all ML-based infrastructure is in the best possible state. Requirements Commercial experience working as an ML Engineer model deployment) or MLOps/Data Science Engineer role. … End to end "full stack" ML experience in AWS Strong Python coding skills CI/CD experience Ideally some Time Series experience Any LLMs experience in a commercial environment is a bonus If this role interests you and you would like to find out more, please apply here or contact more »

is a global luxury retailer looking for an MLOps Engineer to join their strong AI department, where you will help build and maintain the ML infrastructure as well as supporting the deployment and productionisation of machine learning models. The AI department is a cross functional team who work … a range of projects including NLP, Recommendation, Forecasting and LLMs Responsibilities: Create and manage the machine learning infrastructure Streamline the process of ML experiments into production Build and implement scalable tools and services Continuously explore new technologies to enhance performance, maintainability, and reliability of the ML systems. Apply … across the business What you need to succeed: Strong background as a MLOps Engineer, Platform Engineer or Devops Engineer Must have experience working on ML infrastructure using Docker and Kubernetes Minimum of 3 to 5 years experience Extensive experience with Python Familiarly with Terraform, Databricks and Azure Ability to implement more »

AI/Machine Learning Engineer – 6 months - £600 p/d (Outside IR35) AI/Machine Learning (ML) Engineer, with strong chunking and indexing algorithm experience, required by a leading ecommerce company to set the direction for LLMs. The right candidate will have strong commercial experience … of improving LLM performance whilst being an expert in the utilisation of vast amounts of data. Key requirements Strong experience as an AI/ML Engineer Excellent commercial experience with LLM’s particularly Chat GPT and Llama Experience with data chunking and indexing for AI pipeline. Python skills Relevant degree … or post-graduate degree in AI, ML or related field Duration: Initial 6-month Rate: £600 p/d (Outside IR35) Location: London (hybrid more »

Data Science team already in place who focus on recommendation systems and customer personalisation, the company now want to hire an MLOps Engineer/ML Engineer to focus on machine learning infrastructure and deployment tech. As the first person focusing solely on this skillset in the near future … we’ll need a capable and experienced engineer who is happy making independent technical decisions. Responsibilities Deploy, optimise and maintain the machine learning models at the core of the company’s product offering. Focus on creating state of the art … recommendation system and graph network technology that is scalable and stable. Build APIs for the product. Drive smart and necessary DevOps decision within the ML function – MLOps. Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant commercial experience deploying and maintaining (MLOps) Machine Learning 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 »

Machine Learning projects! As a Principal Data Scientist, you will be leading a small team of Data Scientists on a range of ML projects, solving commercial challenges through a variety of Machine Learning techniques. Your responsibilities as a Principal Data Scientist will include but not be … limited to: Solve operational challenges & problems through a variety of Machine Learning techniques. Lead a small team of Data Scientists on commercially applicable Data Science projects. Leverage a breadth of operational Data Science techniques and models to deliver key projects for the Data Science team. Reviewing code and … with mentorship/team leadership experience. Background in core and fundamental Data Science practises Strong exposure solving operational and commercial challenges through Data Science & Machine Learning. Strong stakeholder management skills Preferably background in operations/operational research and solving challenges in operations. Minimum of BSc in STEM subject or 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 »

Model Specialist London (Hybrid) Up to £105k basic + Excellent Bonus & Benefits About Us: My client is at the forefront of artificial intelligence and machine learning technologies with a team of passionate and highly skilled individuals dedicated to pushing the boundaries of what is possible with AI. Job … and deploy prompts to elicit optimal responses from LLMs. Responsibilities: Develop, test, and deploy state-of-the-art language models. Collaborate with data engineers, ML engineers, and researchers to optimize language models' performance, scalability, and robustness. Design, develop, test, and deploy prompts to optimize LLMs functioning. Create business-facing experiences … cross-functional teams to deliver features in an iterative manner. Develop automated processes for predictive model validation, deployment, and implementation. Influence the AI/ML stack like Feature Stores, Model Stores, and automated MLOps to maximize value from LLMs. Connect and collaborate with subject matter experts in different business areas. more »

are seeking a Senior Pricing Analyst to join their London-based team on a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping … the company's strategic direction by providing data-driven insights and recommendations to refine insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with … Data Science, Statistics, Actuarial Science, Mathematics, or a related field. Proven experience in a pricing analyst role, preferably within the insurance sector. Proficiency in machine learning tools (e.g., Python, R, SQL) and familiarity with actuarial principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and more »

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … level of proficiency in SQL and Python . A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »

London Inside IR35 Our client is seeking an interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading … Provide strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends … and partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deep learning, reinforcement learning, and other generative more »

Lead Machine Learning Engineer Up to £95,000 + 10% bonus, car allowance and benefits West London - 1-2 days a month This is a chance to join an Telecomms company help build and deploy impactful models and work with cutting-edge technologies. They are looking for a … Science Chance to upskill and mentor juniors whilst remaining fully hands on Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast paced environment … within a well established company Your Skills and Experience: MSc or PhD level education in STEM subjects. Strong experience in building and deploying ML models Preference for experience in customer modelling but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python 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 »

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 »

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 »

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 »

maintain high-quality software solutions using C# and .NET. Utilise AWS services to build, deploy, and manage applications in the cloud. Implement AI and machine learning algorithms to enhance software functionality and performance. Collaborate with cross-functional teams to gather requirements and deliver solutions that meet business needs. … focus on C# and .NET. Proven experience with AWS services such as EC2, S3, Lambda, RDS, and DynamoDB. Hands-on experience with AI and machine learning frameworks and libraries. Strong understanding of software development methodologies, tools, and processes. Excellent problem-solving skills and the ability to work effectively more »

API's (like TikTok and Spotify) to segment and analyse audience and customer data. There is strong ambition and scope and deliver more advanced machine learning projects, so it's important your skills can span a range of analytics and more advanced data science projects, helping to win … creative teams to support data driven thinking, content creation and web builds. Experience: Educated to degree level in relevant subject such as Computer Science, Machine Learning, Mathematics, Statistics, Physics, Chemistry, Engineering etc. Strong coding skills with SQL, working with large and complex data sets to extract insights and more »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud. What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud … machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis. Working patterns: this is a hybrid role with 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 »

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 »