26 to 50 of 119 Machine Learning Jobs in West London

measurable business value from AI investments. M INIMUM ( ESSENTIAL ) REQUIREMENTS : Proven track record of accountability for the delivery of complex, production-grade AI/ML solutions at scale. Demonstrable experience of technical leadership in AI delivery. Deep expertise in developing and assuring advanced AI/ML models, including time series … ESIRABLE : Experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g., GPT, Llama, Claude, Gemini), and advanced ML libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Active contribution to open-source ...

Senior Computer Vision Engineer - Deep Learning Salary: £70,000 to £95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer … innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create ...

language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms, deep learning or image processing, multimodal, multilingual and reinforcement learning. Experience with research from previous internships, full-time industry experience, personal projects … extend and improve on Google's product offering. Contribute to a wide variety of projects utilising natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Please complete your application before 23rd October 2026. We encourage you to apply as early as possible as we review ...

equivalent practical experience. 8 years of software development experience, including system design, data structures, and algorithms. 7 years of experience leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience in a technical … leadership role. Preferred qualifications: 5 years of experience with one or more of the following: media generation, reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field. Experience with generative AI research or applications. Experience evaluating model performance, analyzing results, and implementing improvements. Experience with ...

with the communities in which we work and live. It is personal to all of us." - Julie Sweet, Accenture CEO Key responsibilities - Deploy machine learning models to production and implement measures to monitor their performance - Implement ETL pipelines and orchestrate data flows using batch and streaming technologies based … Infrastructure as Code tools (e.g. Terraform or CloudFormation) - Strong understanding of data modelling and system architecture - Demonstrable experience on at least one AI/ML project - Knowledge of common machine learning frameworks and models - A good understanding of approaches to monitoring ML models in production - Experience leading ...

technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex datasets, including … within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents, skills, prompt engineering, RAG, AI SDLC, context engineering and evaluations. ...

Your leadership and expertise will help us deliver reliable, scalable solutions that transform how we serve our clients. Job Summary: As an Applied AI ML Director in the International Consumer Bank (ICB) team, you will drive the end-to-end delivery of high-impact AI and machine learning … ensure production-ready deployments. Your role combines technical depth, people leadership, and strong delivery discipline. You will help shape our Applied AI/ML strategy and foster a culture of excellence and innovation. Job Responsibilities: Own end-to-end AI delivery, partnering with the business to identify use cases ...

values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments Agile … Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable Responsibilities Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments Facilitate ...

challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Don't know a particular technology? Your learning and development is key to your future career and we provide a range of excellent training courses to enable you to upskill ...

have a startup-like culture nurtured by sports and social clubs, being a safe place to fail, meaning and self-fulfilment over business, and learning from our partners, suppliers, and peers. We fully embrace DevOps ways of working in our teams, and build a very broad range of capabilities … challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning software e.g. Amazon and Azure machine learning, or Google's TensorFlow Deploying and managing in Cloud Computing such ...

inform team technical decisions Document designs, implementation details, and tradeoffs to support maintainability and knowledge sharing Support scalability, reliability, and security of AI and machine learning solutions in production, with a focus on operational readiness and sustainability Partner with operations stakeholders to understand workflow pain points and translate … technical audiences Collaborate effectively on multi-disciplinary teams and incorporate feedback into your work Preferred Qualifications, Capabilities, and Skills Apply AI and machine learning concepts with a strong interest in applied AI productization Bring experience from academic work, projects, internships, or roles applying AI in finance, operations, markets ...

years of experience in deploying and maintaining machine learning models in a live production environment. Experience in profiling, configuring, or executing ML workloads directly on hardware accelerators (e.g., GPU or TPU). Experience designing, building, or optimizing model serving infrastructure or inference backends. Preferred qualifications: Experience with developing … serving infrastructure. Experience programming hardware accelerators (GPUs, TPUs) via ML frameworks (e.g., JAX, PyTorch) or low-level programming models (e.g., Pallas, CUDA, OpenCL). Experience profiling software to identify performance bottlenecks. Experience with distributed ML systems optimization and parallelism (e.g., data, model, or pipeline parallelism). Familiarity with writing performance ...

continuous delivery, application resiliency, and security practices Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence/machine learning, or mobile) Working knowledge of the Software Development Life Cycle Hands-on experience using enterprise-authorized AI-assisted software development tools within … skills Familiarity with Python for backend services or tooling Exposure to cloud technologies and infrastructure-as-code practices Experience with artificial intelligence or machine learning concepts and tooling relevant to infrastructure and operations use cases ABOUT US J.P. Morgan is a global leader in financial services, providing strategic ...

strategic and operational objectives.The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization.This position reports to the Senior Director, ERP Technology & Operations.Key ResponsibilitiesEnterprise Data & Analytics StrategyDefine … controls and regulatory requirements.Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions.Innovation, AI & Continuous ImprovementIdentify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics.Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies.Foster a culture of innovation ...

operational objectives. The Director will bring deep expertise in SAP data and analytics technologies, enterprise data management, cloud platforms, reporting architecture, AI/ML enablement, and digital innovation while driving standardization, governance, and business value realization. This position reports to the Senior Director, ERP Technology & Operations. Key Responsibilities Enterprise Data … requirements. Collaborate with Cyber Security and Enterprise Architecture teams to implement secure and compliant solutions. Innovation, AI & Continuous Improvement Identify opportunities to leverage AI, machine learning, intelligent automation, and advanced analytics. Drive innovation programs utilizing SAP Joule, Business AI, predictive analytics, and generative AI technologies. Foster a culture ...

improvement in the areas of data integration.Your Qualifications and Experience Essential:3 years’ experience of applying data science tools to support advanced data analytics, machine learning and data visualisation. Educated to an advanced Degree level in data science/data analytics or a closely related field … discipline leading to a professional qualification or professional accreditation with 4 years post related experience.Demonstrable experience of delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of designing mathematical and statistical models to resolve business challenges.Demonstrable experience applying ...

relevant work in data integration, data analysis or software development1+ year + experience of applying data science tools to support advanced data analytics, machine learning and data visualisationHigher Secondary education and completed higher vocational training in information technology, computer science, data science or a closely related field … discipline leading to a professional qualification or professional accreditation with 5 years post related experience.Demonstrable experience of delivering data integration using AI and or Machine Learning Tools e.g. Databricks, Watson, Microsoft Cognitive Toolkit, TensorFlow. Demonstrable experience of designing mathematical and statistical models to resolve business challenges.Demonstrable experience applying ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting Role Overview As the Head of Complaints , you will hold a pivotal leadership position … Crime . You will be at the heart of our mission to make consumer finance faster, cheaper, and friendlier. By championing the benefits of learning from complaint outcomes across the business, you will lead the strategic direction of our complaints department across multiple product lines. This is more than ...

Computer Science, Artificial Intelligence, or a related field. Experience with LLM agents, autonomous multi-step reasoning systems, meta-learning, or self-improving ML pipelines. Experience with large-scale data pipelines (e.g., Apache Beam) or foundation model training and fine-tuning at scale. Experience working in research environments or track … record of published research in relevant AI/ML conferences. Domain experience in life sciences, drug discovery, cybersecurity, or developer tools/coding agents. Responsibilities: Design and build the self-improving meta-agent framework-scaffolding, diagnostic tools, and feedback loops across science, cybersecurity, and coding agents. Deploy, monitor, and improve ...

projects with afantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines andsystems that enable data analysis and machine learning. You will also collaborate with datascientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

develop scalable solutions and lead technical delivery across a range of AI and cloud projects. Responsibilities will include: Designing and delivering Generative AI and Machine Learning solutions Building applications using LLMs, RAG frameworks and AI orchestration tools Working directly with clients to understand business challenges and define ...

other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services and Payments team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. Job Summary As an Associate … support the business in tackling their most technically complex business problems to optimize revenue and manage risks. This could range from developing AI/ML applications that make business-critical predictions such as client pricing, to handling vast data sets using the J.P.Morgan's Cloud capabilities or optimal hedging policies ...

fantastic team of technology experts. You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability. Requirements Key Responsibilities: Develop Data Engineering solutions ...

sports data into real-time insights, personalised experiences and entirely new ways for fans to engage with sport. We're looking for a Principal ML Engineer to help lead that journey. Role/Team overview : You'll join a team building AI that understands sport, not another recommendation engine. … readiness. • Build credibility through deep technical expertise rather than line management responsibility. What you'll bring: Essential criteria: • Deep expertise in Computer Vision, Deep Learning and production machine learning systems. • Experience operating at Lead, Staff or Principal Engineer level, with a track record of technical ownership ...

Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Experience in Computer Science, Computer Engineering, Mathematics ...