1 to 25 of 95 Permanent Machine Learning Jobs in Yorkshire

Architecture, and Portfolio Management. The role will sit within the Data service vertical, led by a Head of Data Engineering, and reports into the ML Engineering Manager. Machine Learning Engineer We are looking for an experienced machine learning engineer to join a newly formed ML Engineering … will be key to delivering robust, high‐impact machine learning solutions. You’ll be expected to understand and implement methodologies from the ML OPs life cycle. You’ll also be expected to work in an Agile environment, contributing to iterative development cycles, collaborating across disciplines, and adapting quickly ...

+ Excellent Benefits Job Type: Permanent, Full Time We're looking for a Senior Data Scientist to join a high-growth technology business where machine learning plays a critical role in driving commercial performance. This is an opportunity to work on complex optimisation challenges at scale, developing models … that directly influence pricing decisions, customer outcomes and revenue generation. You'll be joining a collaborative team of data scientists and engineers, working across machine learning, optimisation and next-generation AI applications. The Role As a Senior Data Scientist, you'll take ownership of developing and improving production ...

devices such as smartphones, tablets and home computers. Based in the School of Computer Science at the University of Sheffield, you will lead the machine learning research on acoustic foundation models for respiratory health. You will work with large-scale real-world recordings of speech, breathing and cough … developing self-supervised learning and foundation-model approaches that are robust to noise, demographic variation and different recording environments. You will also contribute to clinically informed acoustic biomarkers and to the integration of audio with visual and clinical information. LungSight is a multi-university collaboration involving collaborators from ...

with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineer designing and deploying robust ML systems that bring data science to life through automation, CI/CD, and modern cloud engineering practices. Wherever you land, you'll be working with … Your personal learning plan could include: Up to three Stanford Artificial Intelligence Professional Programmes Google Cloud certifications Coursera courses on everything from advanced ML to AI ethics and explainability And because your career is more than your day job, you'll get stuck into side-of-the-desk projects ...

human-in-the-loop controls. Evaluation: Using regression sweeps, canary testing and LLM-as-judge scoring to determine what is ready to ship. ML infrastructure: Building versioned training pipelines, model registries, scheduled jobs and deployments using Azure ML. What you'll be responsible for Owning the development and continuous improvement … state management. Experience evaluating LLM applications using approaches such as gold datasets, regression testing, LLM-as-judge scoring and canary testing. Experience with cloud ML platforms - ideally Azure ML, Functions and Blob Storage - or the willingness to transfer your knowledge to Azure. Experience with Git-based workflows, CI/ ...

project, developing advanced AI and remote sensing methods for forest monitoring and illegal logging detection. Working at the intersection of computer vision, deep learning, geospatial analysis and remote sensing, the postholder will collaborate closely with academic and stakeholder partners. The project addresses automated tree species mapping in highly diverse … species may not be represented in initial training data. Research will focus on open-set recognition, foundation models, multimodal approaches, and uncertainty-aware, incremental learning to build adaptable AI systems that recognise known species while handling unseen classes. The role spans the entire research pipeline – from processing spatio-spectral ...

Research Assistant in Machine Learning for Epidemiology View profile Job Alerts Link Job Description Job Title: Research Assistant in Machine Learning for Epidemiology Posting Start Date: 13/10/2026 Job Id: 3178 School/Department: Computer Science Work Arrangement: Part Time (Hybrid) Contract Type … they occur. The RA will work to integrate multiple datasets and apply a combination of mathematical modelling methods, including time-series modelling and probabilistic machine learning. Anticipated work includes developing and training models, with validation and refinement steps using retrospective data and simulation work undertaken where appropriate. This will ...

looking for a Junior DevOps/MLOps Engineer to help build, automate and maintain the infrastructure and pipelines that deliver software and machine learning models into production. Working alongside software and AI engineers, you will support reliable deployments, improve automation and help ensure production systems operate effectively … demand grows. This role would suit an early-career engineer with a foundation in cloud computing, scripting or software development and an interest in machine learning infrastructure. Key Responsibilities Support the configuration and maintenance of AWS infrastructure for software applications and machine learning workloads. Help build ...

Type Hybrid Work Hours 37.5 Responsibilities Lead the design, build and optimisation of robust, scalable data pipelines and platforms behind analytics, reporting, AI and machine learning Qualifications Ind Standard Skills Strong expertise across data engineering tooling & platforms: pipelines, cloud DS, SQL, Python, machine learning & AI driven … 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 ...

both technical and non-technical audiences. Ethical AI & Governance: Apply responsible AI principles and support adherence to governance and compliance standards in AI/ML development. Mentorship & Knowledge Sharing: Mentor and guide junior data scientists and engineers, fostering a culture of technical excellence. Qualifications Proficiency in Python and C#. … plus. Experience with Cloud AI services such as Azure ML, AWS SageMaker, GCP Vertex AI. Hands-on experience with machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Practical knowledge of algorithms and techniques such as regression, decision trees, random forest, XGBoost, k-means, anomaly detection ...

Research Associate in Speech and Acoustic Sensing for Respiratory Health Are you a researcher in machine learning for speech and audio who wants to develop technology for earlier detection of lung disease? We have an exciting opportunity for a Research Associate to join the LungSight project … invasive audio-visual screening approach for chronic lung disease using everyday devices such as smartphones, tablets and home computers. You will lead the Sheffield machine-learning research on a large acoustic foundation model for respiratory health using real-world recordings of speech, breathing and cough. You will explore ...

heart of data science, research and public policy. Advanced Analytics is hiring a Senior Data Scientist to develop machine learning (ML) and Artificial Intelligence (AI) solutions, with a focus on robust prototyping. We have pioneered the application of new analytical approaches in the Bank of England, such … generative AI, machine learning, natural language processing, agent-based models, network analytics, and randomised control trials. We’re looking for someone with ML/AI expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank ...

Engineer Purpose To lead the design and productionisation of Generative AI and LLM-driven applications, utilising GCP and Google’s AI ecosystem. The ML Engineer will architect scalable systems, mentor junior engineers and drive the technical roadmap for integrating Large Language Models into core products, demonstrating innovation and technical … advanced machine learning and deep learning models and pipelines. 2 Collaborate with cross-functional teams to translate complex business problems into ML-driven solutions. 3 Architect scalable LLM Ops pipelines on GCP (Vertex AI) for model fine-tuning, vector retrieval and low-latency inference. 4 Implement robust ...

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 ...

Data Engineer with a machine learning focus to join our data team, taking ownership of the data and feature pipelines that production ML systems depend on, training data preparation, feature engineering, and the path from a model that works in a notebook to one that runs, and keeps … work with a high degree of autonomy on the more complex and ambiguous problems across client engagements, partnering closely with data scientists and ML engineers, while mentoring junior engineers and helping to raise the bar on engineering practice. The foundations still matter: this is a data engineering role at heart ...

pace and become job-ready in as little as a few weeks. Our programme includes: Official AWS Certified Cloud Practitioner certification Training in Python, Machine Learning, and AI systems Hands-on projects using real-world AI tools and technologies Professional CV and LinkedIn support Interview preparation Dedicated recruitment … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: AI Engineer: £45,000 £60,000 Machine Learning Engineer: £60,000 £75,000 Progression into senior AI roles with higher earning potential We support you into employment We focus on outcomes ...

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 ...

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 ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Junior AI Engineer/Machine Learning Engineer no experience needed From £40,000 - £65,000 *This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back* Train. Certify. Get Hired. AI is expected to generate 170 million jobs … Data+ CompTIA DataAI Practical, real-world project work designed to help you develop hands-on skills Dedicated 1-to-1 tutor support throughout your learning journey CV support, interview preparation, and career coaching Access to our employer network and recruitment partners Starting Salaries Upon successful completion of the programme ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

Junior AI Engineer/Machine Learning Engineer - no experience needed From £40,000 - £65,000 This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs ...

will focus on the discovery, design, and delivery of data modernisation and migration projects, helping customers build the foundations needed for successful AI and machine learning adoption across large-scale cloud and AI initiatives. Responsibilities: Lead data consulting engagements from discovery through to implementation and handover. Facilitate workshops … Adoption Framework principles. Deliver end-to-end data platform projects covering architecture, deployment, configuration and optimisation. Work with Architects and AI specialists to support machine learning and AI initiatives. Support the development of repeatable data and AI delivery frameworks and methodologies. Act as a technical escalation point, supporting ...

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 ...

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 ...