26 to 50 of 379 Remote Machine Learning Jobs

environment. What you will be doing Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Set the standard for data engineering, architecture and best practice across the organisation Translate business and innovation requirements into effective technical solutions … security, data governance, quality and operational resilience requirements Evaluate and adopt new technologies where they add clear business value, from AI driven analytics and machine learning pipelines to modern cloud tooling and platform engineering Mentor other data engineers and grow the capability around you Build internal capacity across ...

have the opportunity to influence the direction of the data function and work across a diverse range of projects spanning data engineering, analytics, machine learning and AI. The Role You will work closely with senior stakeholders to improve data quality, build robust analytical solutions, and help shape … organisation's data strategy.Key responsibilities include: Cleaning, reconciling and standardising data from multiple source systems Developing scalable data models to support reporting, analytics and machine learning initiatives Performing entity resolution and fuzzy matching to improve data accuracy and consistency Building dashboards and reporting solutions for business stakeholders Supporting ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 6 month initial Working with a FTSE 100 retail client who looking for 2x Machine Learning Engineers to expand their existing engineering team - this will be to support the delivery of advanced ...

across UK Government and National Security is looking for a Lead Machine Learning Engineer to design, develop and deploy advanced AI/ML solutions. You'll combine hands-on engineering with technical leadership, working on complex challenges where AI has a genuine real-world impact. What … working on Designing, developing and deploying complex ML models into production Building MLOps pipelines covering CI/CD, monitoring and retraining Researching Generative AI technologies and developing proofs of concept Optimising and fine-tuning models for performance and scalability Integrating AI/ML solutions into existing secure systems Mentoring engineers ...

cases and recommendationsExperience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projectsFamiliarity with AI techniques and machine learning algorithms, including supervised and unsupervised learningStrong communication skills with a knack for translating complex AI concepts … related technical fieldExperience building and deploying enterprise-scale LLM-powered chatbots, copilots, virtual assistants, or AI agentsExperience using Python and relevant AI/ML libraries and frameworks to develop data science or AI solutionsFamiliarity with Retrieval-Augmented Generation (RAG) and connecting LLMs to enterprise documents, databases, knowledge repositories, or other ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

Machine Learning Engineer (MLOps Python LLM AWS) London/WFH to £90k Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems? You could be progressing your career in a hands-on technical leadership role ...

leading UK technology training provider that is growing its Data Science and AI delivery team on government-facing programmes. You'll deliver GenAI, machine learning and Python training to public sector and enterprise learners. You'll also help shape how the courses are built, rather than just teaching … Degree in Maths or a related subject, or an MSc/PhD in Data Science, AI or Computer Science Experience working alongside AI/ML engineers and data scientists What's on offer: Salary: £70,000 - £80,000 Home-based, with travel to training centres and client sites (Cheltenham region ...

Build and deploy AI-driven fraud identification capabilities using multiple data sources. Develop fraud classifiers, anomaly detection, document intelligence and network analysis solutions. Use machine learning and AI to identify emerging threats, including synthetic identities and sophisticated application fraud. Own the production of fraud models, including testing … consumer lending or financial services. Hands-on experience building and deploying fraud or risk models into production. Advanced Python and SQL skills alongside strong machine learning knowledge. Practical experience working with LLMs, agentic AI or AI-driven decisioning, including evaluation, guardrails and governance. Strong understanding of Git, testing ...

approach on a broad range of approaches for study design and the analysis of primary and secondary data. SDS expertise includes artificial intelligence and machine learning; Bayesian analysis; causal inference; disclosure avoidance; imputation; data linkage and statistical matching for combining multiple data sources; data quality assessment; efficient … required) Familiarity working with large data sets, conducting statistical and quantitative modeling with strong programming. Strong foundation in areas of analytic methods, data engineering, machine learning, and scientific methods of inquiry. Experience with data management, data reduction techniques and data visualization. Working knowledge of different types of data ...

FinTech with an innovative approach to lending. You'll play a key role in building and improving fraud prevention capabilities, working on high-impact machine learning projects that directly influence customer outcomes, risk strategy, and business performance. THE COMPANY Our client is a forward-thinking FinTech with … fraud detection, identity verification, and fraud scoring models * Analyse large and complex datasets to identify fraud trends, risks, and opportunities * Evaluate new data sources, machine learning techniques, and fraud prevention tools * Build monitoring and reporting solutions to track model and fraud performance * Collaborate with Product, Engineering, Risk ...

evaluate emerging technologies that can deliver measurable business outcomes. The successful candidate will combine strong data science expertise with hands-on experience across machine learning, Generative AI and Large Language Models (LLMs). You will work closely with multidisciplinary teams to rapidly assess ideas, develop proofs of concept … discovery, research and feasibility assessments. Analyse data sets, business processes and operational challenges to identify opportunities for AI adoption. Develop, test and evaluate machine learning and Generative AI prototypes. Design evaluation frameworks and performance benchmarks for AI solutions. Produce clear technical findings, insights and recommendations. Collaborate with engineers ...

Building AI models is one thing. Getting them into production and delivering real impact is another. Lead Machine Learning Engineer - AI Location: Hybrid - UK (TBC) Salary: £60,000-£90,000 per annum Clearance: Active UK Government security clearance required Level: Lead A technology consultancy working across UK Government … National Security is looking for a Lead Machine Learning Engineer to design click apply for full job details ...

performance reviews Deliver technology innovation initiatives that improve efficiency, advance business capability and strengthen resilience Assess, pilot and adopt emerging technologies, spanning artificial intelligence, machine learning, generative AI, intelligent automation and modern cloud tooling, aligned to architecture, security and resilience requirements Translate business technology strategy into actionable roadmaps … cyber security and resilience The ability to lead, manage and develop a team Proven success assessing, trialling and implementing emerging technologies, including artificial intelligence, machine learning and intelligent automation, balancing innovation against risk and regulation An analytical, commercially minded eye for the business value, feasibility and resilience impact ...

RFPs, bids, client pitches and client events. Contributing internally through campaign development, think-tanks, whitepapers, offering development and practice growth, alongside your own funded learning, training and certifications. What You'll Bring Experience gained in a major consulting firm, or in industry with a consulting mindset comfortable … this role could be a great fit: GenAI Engineer, Generative AI Engineer, Agentic AI Engineer, AI Engineer, AI Consultant, Machine Learning Engineer, ML Engineer, Full Stack Engineer, Full Stack Developer, Python Developer, Senior Consultant Data Science, Data Scientist, Solutions Architect AI, LLM Engineer, MLOps Engineer, AI Software Engineer ...

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 ...

development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. … Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges ...

development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. … Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges ...

development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. … Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges ...

development funding for training, certifications, conferences, and industry events If you're a deeply technical Solutions Architect who understands Federal missions, AI/ML, cloud-native infrastructure, and security-and you want to help solve the emerging challenge of securing AI systems-we'd love to speak with you. … Lead Federal Technical Engagements: Partner with federal Account Directors to lead technical strategy across complex government opportunities. Conduct discovery with mission owners, AI/ML engineers, security teams, architects, and executive stakeholders. Understand customers' AI initiatives, architectures, data pipelines, infrastructure, security requirements, and compliance constraints. Translate loosely defined mission challenges ...

services such as Lakehouse, Spark, Data Factory, Real-Time Analytics, and semantic models. Familiarity with machine learning frameworks and core AI/ML concepts. Knowledge of pricing analytics, supply chain analytics, inventory optimization, and wholesale/distribution analytics. Experience with REST APIs, event streaming, Kafka/Event …/PySpark Data Modeling Dataflows Gen2 DAX OneLake ETL/ELT Concepts Azure Data Factory Dashboard Development Azure Event Hub REST APIs AI/ML Tooling By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. EEO Notice ...

design. All underpinned by technology created with purpose. We’re looking for GenAI/Agentic Engineers who want to shape the future of Machine Learning, Generative AI and Agentic AI. You will be tasked with building and deploying intelligent systems that combine cutting-edge models, agentic frameworks … pitch contribution, and client hosting at events. Internal contribution – Campaign development, internal think-tanks, whitepapers, practice development (operations, recruitment, team events & activities), offering development. Learning & development – Training to support your career development and the skills demand within the company, certifications etc. YOUR PROFILE We’d love to meet someone ...

keen ability to assess, analyse, and meet client-specific needs. You will play a major role in developing and implementing Machine Learning (ML) and Artificial Intelligence (AI) solutions for our clients, along with providing key advice around innovation and new techniques to stakeholders. You will be designing solutions … complex challenges and will integrate code with software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.) to tackle real world problems, applying tools and techniques, and developing novel approaches where required. Building ...

Engineering teams to develop and deploy machine learning and AI solutions that deliver measurable business impact. Key Responsibilities Own end-to-end ML projects, from problem definition and model development through to production deployment, monitoring and optimisation. Build predictive models for pricing, demand forecasting, customer propensity, personalisation … models in production. Strong understanding of MLOps, model monitoring, statistical modelling and experimentation. Practical experience developing GenAI/LLM applications. Experience with cloud-based ML platforms, ideally GCP/Vertex AI. Familiarity with Docker, Git, CI/CD and software engineering best practices. Strong stakeholder management skills and a commercially ...

Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients … great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic ...