101 to 125 of 378 Machine Learning Jobs in the North of England

globally, growing more than 10% per year, and entering at the rate of 3 new markets a year. Our AI (artificial intelligence) technology and ML (machine learning) algorithms ensure all fleet data delivers tangible benefits to our customers. Our insights transform operational efficiency, reducing costs, ensuring the safety ...

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 Desirable Experience - AWS/Azure ...

impact your area of workDemonstrable experience of building data pipelines using Spark, Python or SQLExperience working with AWS and its data and AI/ML services such as SageMakerExperience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake)Experience building data platforms such as Data Lakes, Lakehouses … , including learning new programming languagesApproach solving problems pragmatically, creating clarity and structure in ambiguous situationsExperience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applicationsExperience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior team ...

production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/… model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where ...

production grade machine learning models, from problem framing and experimentation through to live deployment and monitoring. Technical depth: Apply strong statistical modelling, ML, and (where relevant) NLP/LLM techniques to solve real business problems, not just exploratory analysis. Experimentation and measurement: Design and run experiments (A/… model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI use cases, reflecting where ...

societal impacts using your skills.Working at the intersection of client needs and engineering excellence, you will ensure that our solutions, spanning GenAI and traditional ML, are technically feasible, cost-efficient, and ready for the rigors of the real world.If you are a builder who thrives on deploying production-grade … Your key responsibilities will include:Technical Architecture & EngineeringArchitect End-to-End AI Systems: Design scalable, secure, and production-ready architectures that integrate LLMs and ML models into complex enterprise workflows.Bridge Design & Implementation: Oversee the full technical lifecycle, from selecting the right model architectures to ensuring robust CI/ ...

complex challenges and maximize the value of their data. At Deloitte, you will be able to build your career, access the best training and learning opportunities, and develop new skills and hone existing ones. We work for a huge variety of interesting, international, and world-leading clients on exciting … date with the latest generative AI technologies, trends, and best practices.Connect to your skills and professional experience Candidates must have experience in AI/ML Engineering involving some or all the following areas:Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related field.Experience leading the delivery ...

discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, Deep Learning, Statistical Relational Learning, Ensemble Methods Model using ...

used by analysts worldwide with direct visibility to your contributions• Modern technology stack – Work with Python, React, AWS, Kubernetes, and emerging AI technologies• Continuous learning – Training, certifications, conferences, and clear paths to senior/principal/architect tracks• Flexible environment – Work from our Manchester office with hybrid flexibility, competitive … with cross-functional teams and communicate technical concepts clearlyWhat Would Make You Stand Out:• AI and Machine Learning – Understanding of AI/ML concepts, experience with LLMs, prompt engineering, or integrating AI capabilities into applications• Data Technologies – Experience with Kafka, PySpark, Parquet and Avro data formats, Apache Airflow ...

first engineering mindset by leveraging automation and AI assisted development tools to improve code quality, testing, documentation, and delivery speed. Leverage AI/ML capabilities within full-stack applications, including integration of machine learning models, APIs, and AI-driven services to enhance user experience, automation, and decision-making. … line with established change controls. Design and implement AI-enabled backend services using Java-based ecosystems (e.g., Spring Boot) and integrate with AI/ML frameworks, LLM APIs, or internal AI platforms. To be successful in this role, we're seeking the following: Bachelor's degree in Computer Science, Software ...

data structures, performance optimisation techniques, object-oriented programming.Experience using modern AI-assisted and agentic development workflows in day-to-day engineering using AI/ML APIs and SDKsHands-on experience developing RAG solutions or working with LLMs for chatbots is preferredIn-depth understanding of CI/CD and the tools ...

Hiscox is seeking an experienced Machine Learning Engineer to join a newly formed ML Engineering team. You will build and maintain infrastructure to deploy data‐driven models, and develop Python APIs to serve ML models in production within Azure, AWS, or GCP. You’ll collaborate with Data Scientists … Platform Engineers and Developers to ensure scalable, reliable services. The role focuses on production‐grade ML pipelines, model registry improvements, and CI/CD for data science workloads in an #J-18808-Ljbffr ...

based product portfolio. Partner with product managers, content managers, and senior stakeholders to design, build, deploy, and optimise state of the art AI, ML, LLM, and GenAI solutions. Use AI to broaden reach, engagement, and utilisation across our services. Identify opportunities to drive efficiency through AI across the wider business. … machine learning, or a related STEM field. Strong leader, able to communicate clearly at all levels. Track record deploying business critical ML models in production. Experience building and scaling RAG applications with semantic search and text embeddings. Cloud computing experience, ideally Azure, AWS, or GCP. Strong ML ...

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 ...

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 ...

Datalex is seeking a Senior Software Engineer specializing in Python-based AI/ML development to design and deploy machine learning features. The role involves building APIs, collaborating on CI/CD, and mentoring Junior Engineers. Candidates should have 8+ years of experience, strong knowledge of AI technologies ...

week in our Manchester office, where collaboration and connection with your team are an important part of how we work. The role As an ML/AI Engineer, you will design,buildandoperatesecure,scalableand reliable AI-enabled systems that support the delivery of live digital services. Working across the full machine learning lifecycle, you will develop, test, deploy and continuously improve ML and AI models, ensuring they perform effectively in production environments. You will be responsible for ensuring AI solutions are technically robust, observable, explainable and maintainable, with appropriate controls in place to manage model,serviceand data risks. Working ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

data governance frameworks, ensuring data integrity, and fostering a data-driven culture across the organisation. In an era where data fuels every algorithm and machine learning model, our work is foundational to Deloitte's advancements in Artificial Intelligence (AI), including cutting-edge Generative AI (GenAI) and Agentic … impact AI model performanceApplication of AI technologies to Data Quality ManagementData Quality Rule Definition and Implementation:Work closely with business stakeholders and AI/ML teams to define, refine, and validate data quality rules, ensuring they align with business requirements and the specific needs of GenAI and Agentic AI modelsEnsure ...

e.g., GitHub Copilot, generative AI coding assistants) to improve engineering productivity, code quality, and delivery efficiency Understanding of data engineering considerations for AI and machine learning workloads, including data quality, governance, lineage, and scalability requirements Education Bachelor's degree or equivalent experience; Master's degree is a plus ...

sure we can be there for our customers. Job overview: Are you a passionate and experienced software engineer with skill in Agentic AI and Machine Learning? We’re on the lookout for a Lead AI Engineer to take the helm of our AI initiatives. You’ll lead ...

capabilities for our customers and colleagues.To be successful as a Forward Deployment Engineer, you should have experience with:Good technical experience in AI/ML with experience developing and deploying solutions using LLMs, RAG architectures, and modern AI frameworks and protocols (Strands, FastMCP, LangChain, LlamaIndex, Hugging Face, A2A, MCP).Ability ...

projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.Right now, our Data Scientists are working on several … expect applicants to have experience with all of these):Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing.Discover more about our Analytics Community in our blog and explore ...

commerce industry would be a distinct advantage.ResponsibilitiesDesign, implement, and maintain Python services within our pricing platform, including data-processing logic and the integration of ML/optimisation models. Write clean, efficient, well-tested code for backend logic and data services.Build and optimise data pipelines on AWS to collect, transform … .Knowledge of design patterns and software architecture.Strong problem-solving and analytical skills.Good presentation and teamwork skills.Comfortable working in both Agile and Waterfall methodologies.DesirableFamiliarity with ML/optimisation frameworks used to productionise pricing models.Git for version control, with Bitbucket for collaboration, and experience configuring CI/CD pipelines (Bitbucket Pipelines ...

driving the data engineering strategy and roadmap, owning scalable data pipelines, embedding secure-by-design principles, and enabling production-grade data foundations for AI, machine learning and advanced analytics. You’ll also partner across Security, Cloud, Architecture and Product teams while mentoring engineers and building a high-performing … teamsAnd it would be great if you had any of the following...Exposure to MLOps or SMLOps tooling and model lifecycle managementExperience supporting AI/ML pipelines, feature engineering or analytics platformsKnowledge of AI governance and secure adoption of generative or agentic AIExperience working in security-focused or regulated environmentsFamiliarity with ...