26 to 50 of 228 Machine Learning Jobs in the North West

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 ...

lessons learned fast. Be the kind of leader who creates that energy and channels it into things that last. Push the frontier of AI, ML, and intelligent systems Go beyond adopting AI tools — define how intelligent systems become structural, load-bearing parts of the platforms your teams own. Whether that … powered workflows, ML models embedded in analytical processes, agentic automation, or AI-augmented developer tooling, bring the depth to evaluate, architect, and champion these capabilities with real technical conviction. If you've built ML systems from the ground up, that experience will resonate deeply here — and you'll have ...

Digica is a company specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) methods in research and development projects for leading global clients. We work with partners in the defense, healthcare, and entertainment industries, building innovative AI-driven solutions that bridge the gap between research … passionate Data Scientist who enjoys solving real business problems with data and machine learning. You’ll take part in designing and delivering ML solutions end-to-end — from exploration and experimentation to deployment.If you like working with diverse data, collaborating with others, and seeing your models used in production ...

with stakeholders to design and deliver solutions to complex problems. Develop and expand Data Science capabilities and support capability building within the organisation. Manage machine learning deployment pipelines (MLOps) and resolve potential bottlenecks. Mentor and coach other engineers to support their professional development. About the Candidate Essential Experience … MLflow, AWS Sagemaker, and Azure Machine Learning. Proven track record of delivering high-quality, scalable data science solutions. Expertise in Data Manipulation, ML, and Statistical Analysis coding packages. Strong experience in testing data models and Machine Learning Models. Deep understanding of product delivery from requirements to desirable ...

Machine Learning and Artificial Intelligence, key technologies for the future of computing. Arm is everywhere technology matters. Are you passionate about ML systems and keen to shape how AI runs efficiently on next generation accelerator designs? Then we should talk! We are expanding multiple teams across our ML … contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI! Responsibilities: You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework ...

maintain data pipelines that collect, clean and transform customer and internal data Develop data analysis and statistical models using R Build, test and maintain machine learning and predictive models Develop and deploy R‐based applications and data workflows within AWS Work with structured and unstructured data to identify … experience in data analysis or data science 1+ years\' commercial experience developing in R using RStudio/Posit Strong working knowledge of statistics and machine learning Hands‐on experience building or maintaining ETL/ELT data pipelines Practical experience working with AWS, ideally including S3 and a managed ...

firm to have a dedicated AI department, which started in August 2023. Since then, we have been experimenting with a broader range of ML techniques, extending those tools already in use, and productionising new ones through our growing data science & engineering teams. We believe that we are well positioned … requirements below are still encouraged to apply Main Responsibilities Take ownership of backend services that support the development, testing, deployment, and monitoring of ML ‐ enabled products Contribute to infrastructure and architecture decisions by developing a strong understanding of business and product needs Maintain and extend existing, and build new APIs ...

safe and efficient manner. You will need strong coding experience in Python or R and SQL with an appreciation of advanced analytical techniques: Statistics, Machine Learning, Deep Learning and a demonstrable ability to evaluate and select the right approach for the nature of problems to be solved. … cleansing and analysing large data sets and articulate data insight in a clear way Working knowledge of multiple relevant technologies such as (Databricks, Azure ML, SQL databases, Data Visualisation tools such as Tableau or PowerBI) Strong knowledge of one or more relevant languages such as Python/R/ ...

million HTTP requests daily and process more than 1.5 million bets per hour at peak. Job Description As a Data Scientist, you will develop machine learning solutions and perform statistical analysis to inform strategic, data-driven business decisions and initiatives. Our Data Analytics team monitors, analyses, and optimises … Qualifications Excellent analytical, problem-solving, and critical thinking skills. PhD degree in Computer Science, Statistics, Mathematics, or a related quantitative field. Experience using core machine learning techniques, such as regressions, classification,clusteringand deep learning. Strong programming skills in languages such as Python, R, SQL. Familiarity with data science ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You’ll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product‐led or consumer‐facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

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 ...

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 ...

Raffles, Singapore | Posted on 04/06/2026 Experience working with ML platforms such as CML, SparkMLlib, and Python ML libraries (scikit‐learn, XGBoost), including modeldeployment. Design and develop highly scalable, Real time systemsusing Hadoop ecosystem components(Iceberg, Spark, Ozone, Trino, Hive,Ranger, Kafka, Flink and Nifi) Build robust … full‐stack applications and internalengineering tools using Python, shell scripting, and modern web frameworks(e.g., Flask, React). Collaborate closely with data scientists tooperationalize machine learning models using Cloudera Machine Learning(CML). Perform performance tuning and optimization of dataapplications on Hadoop to ensure optimal resource ...

Python, Java, R, and C++, applying strong software engineering principles, clean coding practices, API design, distributed computing, UNIX tooling, and scalable system design. Machine Learning and AI Fundamentals – Solid knowledge of supervised and unsupervised learning, neural networks, model evaluation, prompt engineering, code transformation and refactoring, data transformation … work with large and complex datasets, including data preprocessing, feature engineering, data quality assessment, vectorisation, embeddings, and the effective use of data science and machine learning libraries. AI Engineering and Product Delivery – Experience building AI‐powered capabilities into production applications, balancing experimentation with robust engineering, security, observability, maintainability ...

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 ...

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 ...

Device ML Engineer, Federated Learning Build federated and on-device learning so models improve without centralising sensitive neural or operational data. What you’ll do Design federated update loops, evaluate drift and leakage risk, and ship learning that stays on the device whenever it can. What … bring On-device ML, federated learning, or privacy-preserving training experience. Strong Python plus mobile/embedded deployment. Apply for On-Device ML Engineer, Federated Learning — Manchester/Los Angeles A founder reads every application. CV required. First name Last name Apply for On-Device ML Engineer, Federated ...

client pitch contribution, 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 demanded within the company, accreditations, certifications etc. YOUR PROFILE We are looking for individuals … evaluation and Responsible AI AI orchestration frameworks e.g. LangChain, Semantic Kernel, Model Context Protocol (MCP) Data engineering, pipelines, modelling and governance Advanced analytics, machine learning and statistical modelling Data visualisation and insight solutions Candidates should understand the importance of trusted, accessible and AI-ready data, and be curious ...

formal training. What you will do Position CDW Custom AI capabilities - Engage with all Customer AI personas: technical personas (CDO, MLOps, AI/ML Engineer, Data Scientist), outcome-driven personas (CEO, CTO, LOB) and ITDMs (CIO, VP Infrastructure). Technical SME on CDW Custom AI – Maintain expert level knowledge … essential Evidence of judgement-based decision-making trade-offs made, unsuitable approaches rejected, risks identified and commercially credible solutions developed. Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) Experience with cloud platforms (e.g., Azure AI, AWS SageMaker, Google Cloud AI) Experience with Private cloud platforms (HPE Private ...

legacy reporting and applications while planning sensible modernisation and retirement pathways. Data science, AI and intelligent automation Identify high‐value use cases for machine learning, generative AI, computer vision, natural language processing, optimisation and robotic process automation. Lead the design, validation, deployment and monitoring of models such … with orchestration tools such as Azure Data Factory, Prefect or Airflow. Strong experience administering or governing Power BI, SSRS and QlikView environments. Experience delivering machine‐learning, AI or intelligent‐automation solutions beyond proof‐of‐concept stage. Hands‐on experience designing or delivering RAG solutions, including document ingestion, chunking ...

visualisation choices without building dashboards or reports. AI-Ready Data - Make sure data platforms provide the quality, context, access and governance that AI and machine learning need. Work with the Principal AI Architect on AI use cases that depend on the data foundation. Security, Observability & FinOps by Design … technical relationships with data platform partners to stay current on roadmaps and capabilities, while using that knowledge as an independent advisor to customers. Continuous Learning & Accreditation - Keep expert knowledge up to date through hands‐on lab time, research and training. Maintain relevant accreditations in at least one core data ...

skills with experience working within multidisciplinary teams. Desirable skills and experience Experience processing/analysing Earth Observation or remote sensing data. Exposure to AI, Machine Learning or GeoAI applied to spatial data. Experience with raster processing, vector tiling or spatial ETL workflows. Experience working with Geographic Foundation Models … GeoFMs), large geospatial AI models or multimodal spatial machine learning would be advantageous. Experience working within consultancy environments and engaging directly with clients. Familiarity with CI/CD pipelines using Jenkins, GitHub Actions or Terraform. Understanding of the Government Digital Service Standard and Technology Code of Practice. Senior ...

useful. Implement appropriate access controls, security and privacy practices to support GDPR and FCA requirements. Prepare the platform for future analytics, AI and machine learning applications. Evaluate tooling and contribute to decisions on the wider data architecture. What we’re looking for Commercial experience delivering and supporting production … financial or regulatory datasets. Streaming technologies such as Kafka and real-time data processing. Building datasets and processes for regulatory reporting. Supporting analytics or machine learning use cases. Experience working within a regulated industry. The package The role offers a £50,000–£75,000 salary, alongside a generous ...

role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation. … related quantitative field. Proven success in leading the design, development, and deployment of sophisticated predictive models. Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch, Proven ability to design and implement complex machine learning solutions and guiding best practice. Deep understanding ...

including latency, memory use, thermal behaviour, maintainability, and deployment constraints. Support ONNX Runtime, TensorRT, OpenVINO, quantization, and standard edge deployment profiles in collaboration with ML and software engineers. Build and maintain portable innovation demos, including tabletop demo boxes, experimental sensor rigs, industrial camera setups, client-data capture paths, and field … recommendations. Ability to turn ambiguous inspection challenges into practical hardware experiments, prototype plans, and clear build-versus-buy recommendations. Ability to communicate clearly with ML engineers, software engineers, integrators, client teams, hardware partners, and commercial stakeholders. Highly Beneficial Skills Experience with advanced sensors such as laser line scanners, structured-light ...