26 to 50 of 99 Machine Learning Jobs in West London

events Employment: Permanent, full-time MFK Recruitment is recruiting a Founder’s Associate for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions for defence, security and other demanding operational environments. Our client has a highly experienced team of Software Engineers, Data Scientists, Machine Learning specialists and Researchers. The company is growing rapidly and is now looking for a highly capable individual to work closely with the CEO and senior management team. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still ...

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 ...

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 ...

forefront of AI innovation,trusted by Microsoft, AWS,andothersto deliver advanced AIand datasolutions atcitizenscale. Our 150-strong AI and DataPracticebringstogether deepexpertisein machine learning, generative AI, agenticAIand data. We are pioneers in responsible AI, having authored the UK governments AI Cyber Security Code of Practice implementation guideand we partner … Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Proven experience of leading multi-disciplinary teams to deliverhigh qualityAI/ML solutions. Demonstrable experience oftechnical leadership for AI delivery including architecture, product designprinciplesand engineering excellence. Have a deep understandingand developingof AI/ML models, including time series ...

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. ...

client's challenges! It would be great if you also had experience in some of these, but if not well help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure … dedicated Career Manager to help you develop your career and guide you on your journey through BAE Dont 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 in a given ...

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 ...

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 … client's challenges! It would be great if you also had experience in some of these, but if not well 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 ...

delivery pipelines. Architectural Stewardship: Provide high-level technical overwatch of architectural design, ensuring system integrity during the integration of Cloud architectures and AI/ML models. Engineering Governance: Apply rigorous engineering oversight and process discipline to enhance quality, ensuring that Data Integrity and Algorithm Assurance are maintained throughout the lifecycle. … Engineering. Technical Context: Extensive experience operating within high-security or safety-critical domains, with specific exposure to Big Data Analytics, Machine Learning (ML), and Hyperscale Cloud (AWS, Azure, or GCP) in a secure context. Regulatory Compliance: Strong practical experience working to established and international standards from ...

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 ...

York. In this role, youll make an impact in the following ways: Design, build and deliver enterprise-grade AI-driven solutions, including machine learning and generative AI capabilities, to solve meaningful business problems and accelerate innovation. Work closely with Product, Sales, Trading and Operations stakeholders to translate business … successful in this role, were seeking the following: Strong experience designing, building and delivering scalable technology solutions in Enterprise environments. Experience in machine learning or generative AI use cases, with the ability to apply these technologies to meaningful business problems. Strong understanding of how AI can be embedded ...

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 ...

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 ...

enjoy building practical agentic tools and setting strong engineering standards, you will find meaningful ownership and growth here. As an Applied AI ML Lead Engineer, Vice President in the Applied AI and Machine Learning engineering team within Asset and Wealth Management, you will enhance, build, and deliver trusted ...

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 ...

Tech Lead level, with the ability to be both highly technical and an effective people manager Hands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling) Experience ...

pharmaceutical industry (e.g. Pharma, CRO, Biotech) and clinical trials.* Proficiency in SAS, R, Python, or similar tools for data manipulation and analysis. AI/ML knowledge is a plus.* Good understanding of industry RWD vendor database.* Experience with RWD data curation, engineering, exploration, and quality control in large-scale datasets. ...

solve their most critical business problems. Minimum qualifications: Currently enrolled in or graduated from a PhD program. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Experience in computer science and software design. Preferred qualifications: Experience … Generative AI. Experience with data structures and algorithms. Knowledge of Python programming. Responsibilities: Help scaling data optimization techniques improving the performance and quality of ML models. Work closely with our Research teams as well as ML practitioners to identify, build and iterate on engineering tools, processing pipelines, data optimization techniques. ...