101 to 125 of 364 Machine Learning Jobs in the North of England

area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes … learning new programming languages - Approach solving problems pragmatically, creating clarity and structure in ambiguous situations - Experience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applications - Experience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior ...

area of work - Demonstrable experience of building data pipelines using Spark, Python or SQL - Experience working with AWS and its data and AI/ML services such as SageMaker - Experience of big data and lakehouse platforms on AWS (EMR, Databricks or Snowflake) - Experience building data platforms such as Data Lakes … learning new programming languages - Approach solving problems pragmatically, creating clarity and structure in ambiguous situations - Experience productionising and operating data and AI/ML solutions, including Generative AI or LLM-based applications - Experience coaching and mentoring engineers, putting in place structured development opportunities to build the capability of junior ...

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/ ...

ready architecture concepts - including awareness of how engineering decisions around quality, latency, schema, security and lineage affect the reliability of downstream AI and ML systems A basic understanding of agentic AI concepts and how autonomous systems interact with and depend upon data and platform infrastructure You should apply … cloud or data platform certifications (e.g. Azure Data Engineer Associate, AWS Data Analytics Specialty, Databricks Certified Associate Developer, AWS Solutions Architect Associate) AI or ML engineering certifications (e.g. Databricks Generative AI Engineer, AWS Machine Learning Specialty, Google Professional ML Engineer) What's in it for you At Accenture ...

organisation, providing insight into how we operate and the collaborative environment you’ll be part of. This lays the foundation for a learning journey tailored to your goals and preferred learning style. From day one, access to mentors and subject matter experts will help you settle into … every step of the way, as you become an integral part of our innovative team. We’ll provide the space and resources for continuous learning and improvement, with up to 30% of your time dedicated to personal development, giving you the freedom to explore new technologies, build professional skills ...

equip students with a range of key skills essential for entry into this exciting and ever-evolving sector. You will undertake all aspects of learning, teaching and assessment of students and keep up to date with latest developments in your field and student support practices. Responsibilities include: All aspects … planning, delivering, and assessing student work, ensuring that all learning outcomes are met Developing, updating, and improving course materials as appropriate Using a variety of learning and teaching methods/materials Actively engaging in staff development activities, peer observations, meetings and other administrative duties Understanding and keeping ...

attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization. Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks. Design GraphRAG and knowledge-grounded security assistants that combine ...

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 ...

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 … cross-functional teams and communicate technical concepts clearly What 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 ...

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 ...

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 … functional teams and communicate technical concepts clear ly What 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 ...

particularly Terraform Understanding of implementing logging, monitoring and alerting for enterprise level pipelines Understanding of access controls, policies and approaches Consultancy Skills Enthusiasm for learning and self-development and sharing that within a team and organisation Knowing how to gather basic requirements from clients and users on a data … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Demonstrate a commercial mindset when ...

Manufacturing, Higher Education, and the Public Sector.Guided by our core values of Trust, Value, and Velocity, we foster a culture of collaboration, innovation, continuous learning, and career growth. About the Role We are seeking an experienced Data Engineer with strong, hands-on expertise in Palantir Foundry to design, build … extend, and maintain Foundry ontologies, including object types, link types, property types, and semantic relationships. Build semantic layers that support analytics, operational workflows, and machine learning use cases. Embed strong data quality principles through validation checks, lineage tracking, and governance frameworks. Monitor pipeline performance and optimize for scalability ...

Syrup platform and the family of forecasting and predictive services that power Anaplan’s verticalized solutions. The team builds and operates the ML platform, forecasting engines, and data processing services that deliver demand forecasting, inventory recommendations, and predictive insights to enterprise customers in retail, supply chain, and beyond. This role … within Software Engineering, Principal or Architect-level role owning systems at scale. Deep expertise in Python and in designing and operating high-availability, production ML services. Hands-on experience designing and operating data and analytics platforms built on technologies such as Snowflake, Iceberg, Trino, and Postgres. Strong production experience with ...

Fabric and Snowflake Architect and oversee AI-ready platform environments from the outset — designing for the compute, networking, storage and security requirements of GenAI, ML and agentic workloads, not retrofitting them later Drive AIOps adoption across platform operations — implementing intelligent monitoring, automated incident detection and response, and self-healing infrastructure … identity and access management, and policy-as-code engineering AI-ready platform architecture — proven ability to design environments that meet the demands of GenAI, ML and agentic workloads in production Experience leading and mentoring engineering teams, setting technical direction and driving delivery to a high standard Familiarity with agentic ...

Terraform Knowledge of basic logging and monitoring practice Knowledge of basic access controls, policies and approaches particularly on Cloud services Consultancy Skills Enthusiasm for learning and self-development and sharing that within a team and organisation Good communication skills Showcasing and presentation skills Desire to work in a cross … essential, but it’s highly desirable! Working at a technology consultancy Working with data scientists to productionise advanced data deliverables, such as machine learning models Working within the public sector Experience of working in Agile practices such as Scrum, XP, and/or Kanban We are hiring ...

necessary, GCHQ will fully cover travel and accommodation expenses. Beyond delivering impactful work, you’ll be part of a culture that values collaboration, learning and development, where everyone is encouraged to contribute and reach their potential. To join us, you’ll need a higher education background in a STEM … help you succeed in the role. A passion for technology and the ability to thrive in a collaborative environment where knowledge sharing and continuous learning are valued will help you succeed in the role. Training and development We invest heavily in professional development and provide a range of learning ...

Permanent As a Data Modeller , you will play a key role in designing, developing and maintaining enterprise data models that enable analytics, reporting, AI, machine learning and business intelligence initiatives. You will translate complex business requirements into scalable, high-quality data solutions, ensuring data is structured, governed … succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity ...

building a governed, interoperable data estate that enables self-service for our business teams and provides the trusted foundation for advanced analytics, machine learning and AI to accelerate change across our industry. This role is an opportunity to apply yourexpertisein Azure technologies, data storage and data engineering techniques ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

ensuring business value creation and impact. In this position you will play a key part in:* Designing and delivering end-to-end AI/ML systems, from data preparation and model development to model deployment, feature stores, model management and monitoring model management* Delivering solutions using the latest GenAI … requirements and build out solutions.* Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production.* Deep understanding of Generative AI and Agentic AI — RAG pipelines, embeddings, evaluation harnesses, and orchestration frameworks.* Experience designing ...

Demonstrable experience operating at SFIA Level 4 or above in a commercial software engineering environment. Desirable Desirable: education A Masters degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science or a related subject A degree in a computing, mathematical or engineering subject A Level 3 qualification ...

Software Engineer Machine Vision We are looking for an AI Software Engineer to develop software and artificial intelligence models, primarily for machine vision applications. Combining software engineering with applied AI, you will help turn visual data into practical capabilities and integrate those capabilities into reliable applications. The role … improvement. Key Responsibilities Design, develop and maintain software using C++, C# and Python, selecting the appropriate language for each component. Develop, evaluate and improve machine vision models and image-processing algorithms. Prepare and validate image datasets for model training and testing. Integrate AI models into software applications and processing ...

platforms. You will leverage your expertise in Databricks, Apache Spark, and Azure to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations.We are looking for a code first Data Engineer to design and build scalable and resilient data applications … with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt.* **AI and MLOps** Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment.* **Containerisation and Kubernetes** Confidence deploying applications in containerised environments, including defining services ...