376 to 400 of 6,120 Machine Learning Jobs in the UK

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

full lifecycle of a problem: understanding stakeholder needs, exploring and assessing data, identifying appropriate analytical approaches, communicating findings and, where appropriate, developing statistical or machine-learning models or client-ready insights/tools. This is a role for someone who enjoys variety and has a critical … Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights. Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved. Collaborate with the product and software engineering teams to turn analytical work into ...

security architecture, serve as an ambassador for security design best practices and providing security architecture and design consulting as required. As an AI/ML Security Architect, you will play a critical role in supporting all of Liberty Global' s AI-related efforts from a security standpoint and ensuring … systems within the organization. You will be responsible for developing, designing, implementing, and maintaining robust security standards, measures and controls for AI and ML applications, models, and data whilst working with the business on these initiatives. You will collaborate with cross-functional teams, including data scientists, engineers, and security ...

growth and help change an industry for the better. About the teamGenAI Engineering sits within the company's Data and AI function, alongside Machine Learning and the Machine Learning Data Platform. We own the AI features that shape how buyers and sellers experience the marketplace, from … example. Represent your technical decisions directly to product managers and stakeholders, translating model behaviour into business consequence. About you You've shipped AI or ML systems that real users depend on, and you've stayed close enough to production to know how they behave when they break. Strong Python ...

building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.* Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage … pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services.* Experience of Databricks ML and Azure ML to develop predictive models and drive business insights.* Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding ...

streaming ingestion pipelines and integrating structured and unstructured data from multiple enterprise systems. Experience using Databricks AI capabilities and/or developing AI/ML solutions with Python, including practical use of NLP, Generative AI, embeddings/vector search, forecasting, or conversational AI. Understanding of how to evaluate AI‐generated … orchestration, RAG, prompt engineering, or AI‐assisted automation workflows. Familiarity with Kubernetes, Docker, GitLab/GitHub CI/CD, Terraform, and modern ML deployment frameworks. Experience supporting global or enterprise‐scale customer operations environments. Knowledge of contact center platforms such as Zendesk, Five9, Amelia, workforce management platforms, or conversational ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

based security automation, including prompt engineering, RAG pipelines, and fine-tuning of models. Collaborate with Data Engineers to build scalable, secure, and production-ready ML pipelines on GCP. Partner with cyber defence, risk, and compliance teams to ensure models are explainable, ethical, and aligned with regulatory standards (e.g. SOC2, SWIFT … functions What You’ll Need... Confirmed experience in leading data science projects in cybersecurity, fraud, or behavioural analytics. Data Engineering - Deep expertise in Python, ML frameworks (e.g. TensorFlow, PyTorch), and cloud platforms (preferably GCP). Deep Learning Theory & Applications - Strong grasp of anomaly detection, time-series modelling, and deep ...

grow your career, collaborate globally, and influence the technical vision of our organization. We value your expertise in software engineering and AI/ML, and offer a dynamic environment where your ideas and leadership drive real change. Experience the benefits of working with cutting-edge technology and a supportive, inclusive … team. Together, we push the boundaries of what's possible. As a Software Engineering Lead in our AI/ML Solutions Team, you will architect, design, and deliver secure, high-quality production software systems. You will collaborate with product and business teams to set technical vision and execute strategic roadmaps ...

organisation Work with other members of the Digital Biology Team to deliver a unified strategy Stay at the cutting edge of bioinformatics, AI/ML for biotech, computational biology, and industry standards What We’re Looking For Strong background in bioinformatics, computational biology, or a related quantitative discipline : a postgraduate … proteomics, metabolomics) : from raw data QC and processing through to differential analysis, integration across data types, and biological interpretation Mechanistic modelling and AI/ML pipeline development experience : building, training, and validating models that generate testable biological hypotheses, and understanding when a mechanistic, data-driven, or hybrid modelling approach fits ...

datasets. Working alongside data scientists, software engineers, architects and consultants, you’ll create scalable cloud-native data solutions that support advanced analytics, AI/ML capabilities and operational intelligence systems. This is an opportunity to work on technically challenging projects where you’ll influence architecture, engineering approaches and the delivery … Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational or intelligence-related datasets Experience working within Defence, National Security, Government or other regulated sectors Why Join ...

that drive business growth. You’ll be a key member of the Provenir AI team, who are responsible for all things data, analytics, and ML/AI at Provenir AI. The team fosters a vibrant and collaborative culture. We are a passionate group of professionals who thrive on the intersection … excellent opportunity for a Senior Software Engineer to design, build and operationalise large-scale data solutions using standard REST APIs, Graph, AI and ML applications for Provenir AI. Remote first - The successful candidate will be based in UK Java, Spring Boot/AI, AWS, Graph Database, AI and ML frameworks ...

production support. Design and implement reproducible, testable data workflows that enable advanced analytics and Artificial Intelligence and Machine Learning (AI/ML) use cases, incorporating validation, monitoring, observability, experimentation, versioning, and production deployment capabilities. Lead architectural decisions and influence technical prioritisation, partnering closely with product and delivery teams … testing strategies, code quality practices, and the ability to independently drive technical solutions from design through delivery. Experience supporting advanced analytics and AI/ML use cases, complemented by a rigorous, data-driven approach to experimentation,evaluation, and technical decision-making. Excellent collaboration, communication, and stakeholder management skills, with ...

this programme, direct hands‐on depth across the AI engineering stack is essential: Strong general‐purpose programming (most commonly Python) applied to AI/ML systems Semantic search, vector/embedding infrastructure, and RAG pipeline construction LLM orchestration and agentic frameworks (e.g. LangChain/LlamaIndex‐style tooling, multi‐agent patterns … versioning, deployment, monitoring, and rollback for AI services in production Cloud‐native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling Containerisation and infrastructure‐as‐code for repeatable, auditable deployments Secure‐by‐design engineering appropriate to sensitive public‐sector data AWS/Azure/ ...

this programme, direct hands-on depth across the AI engineering stack is essential: - Strong general-purpose programming (most commonly Python) applied to AI/ML systems - Semantic search, vector/embedding infrastructure, and RAG pipeline construction - LLM orchestration and agentic frameworks (eg LangChain/LlamaIndex-style tooling, multi-agent patterns … versioning, deployment, monitoring, and rollback for AI services in production - Cloud-native engineering across major providers (AWS, Azure, or GCP), including their AI/ML tooling - Containerisation and infrastructure-as-code for repeatable, auditable deployments - Secure-by-design engineering appropriate to sensitive public-sector data - AWS/Azure/ ...

development of Slalom's data engineering accelerators, frameworks, and methodologies. Share knowledge through internal presentations, documentation, and mentoring. Participate in Slalom's learning culture and pursue continuous professional development. Whatyou'llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding … Solutions Architect - Associate, or AWS Certified Developer - Associate Experience withstreaming data architecturesand real-time analytics Familiaritywithdata platformssuch asSnowflake, Databricks is a bonus Experience with ML/AI engineering, including building or integrating production-grade machine learning or generative AI solutions. Experience with agentic development patterns, including tool ...

data team and wider business to support delivery of additional project components (API interfaces, Data Models, Data Sharing, RDM/MDM tools, ML Endpoints). Working within an Agile delivery/DevOps methodology to incremental change to the overall data platform to deliver additional data products to provide value … stakeholders. Working with the Group Data Science team to productionise ML pipelines into the overall data platform solution. Work collaboratively with internal stakeholders across DUAL Personal Lines including but not limited to Underwriting teams, Operations, Finance, Risk & Compliance and HR. Act as a conduit between DUAL Personal Lines and Dual ...

Collaborate with product and engineering teams to define API contracts, data models, and integration patterns for AI-powered features. Evaluate and recommend AI/ML technologies, frameworks, and models that align with enterprise requirements for security, scalability, and reliability. Lead architecture reviews and provide hands-on technical mentorship to engineering … optimisation mechanisms. Your Skills Experienced background in software architecture, highlighted by a dedicated and deep focus on designing, scaling, and productionising complex AI/ML systems. Deep expertise in LLM architecture, prompt engineering, and GenAI application design, paired with a strong understanding of multi-agent systems and autonomous decision-making ...

with engineering teams to uplift security and DevOps culture across the organisation Benefits of joining us Cutting-Edge Technology: Work with modern AI, from machine learning models to agentic systems Inclusive Work Culture: Collaborative environment emphasizing mutual respect Flexible Working Hours: Arrangements that … prioritize productivity and work-life balance Real-World Impact: Build AI systems that accelerate global technological innovation Continuous Learning: Opportunities to grow in ML engineering, product design, and systems architecture Hybrid Working: 2-3 days per week from our Shoreditch #J-18808-Ljbffr ...

AIML Data Platforms and Chief Data and Analytics Team , you will lead a team of 3-7 SRE engineers and scale the AI/ML Data Platform, deliver advanced technology products focused on data and analytics. You will tackle complex cloud data platform challenges, especially around Data Lake Tools. … operational excellence. Performs platform design, set‐up and configuration, workspace administration, resource monitoring, providing engineering support to Data Engineering teams, Data Science/ML, and Application/Integration teams. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions ...

advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. Job Responsibilities Architect, develop, and productionize autonomous and assistive AI agents … Computer Science, Data Science, Machine Learning, or related field. Experience building and deploying agentic AI applications in production environments. Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn. Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts. Hands‐on experience ...

emerging cyber and AI threats and their modeling implications Experience with analytics and risk modeling Experience in a SaaS product development environment Familiarity with ML techniques and statistical data analysis Familiarity with AI/LLM risk and its implications for cyber risk, social engineering, product safety, errors/omissions …/CEH/CISM Certification Agile Project Leadership Hard Skills Cyber Risk Analytics Threat Intelligence Reporting Data Analysis Modeling Assumptions Translation Statistical Data Analysis Machine Learning Techniques SaaS Product Development Complex Data Types (JSON, XML) APIs Excel Soft Skills Critical Thinking Problem-Solving Executive-Level Communication Collaboration Creative ...

models in production with efficient use of compute. Develop and maintain cloud‐native architectures that enable reliable deployment and scaling of AI/ML workloads. Deliver robust, tested and high‐performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure … Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Knowledge of command‐line tools and shell scripting. Knowledge of software engineering best practices, including continuous integration ...

optimization, and pharmacovigilance; Advise executive stakeholders on AI strategy and translate technical concepts into actionable business outcomes; Define and deliver enterprise-wide AI and machine learning adoption roadmaps aligned with business objectives; Create governance frameworks to meet regulatory and ethical requirements, including GDPR, FDA, and EMA; Prototype Generative … literature mining, safety monitoring, and patient programs; Collaborate with data engineers, clinicians, and business teams to tailor solutions to client needs; Deploy AI and machine learning models in production using MLOps and LLMOps practices; Use cloud platforms and data solutions to ensure scalability and operational integrity; Present data ...