51 to 75 of 247 Machine Learning Jobs in the North West

noting that you will be unable to work at home 100% of the time. Key Responsibilities: Design, build, and deliver production-ready AI and machine learning solutions that create measurable business value. Integrate generative AI capabilities, knowledge retrieval approaches, and intelligent automation into robust cloud-based services. Develop … helping clients and colleagues understand the potential and responsible application of AI technologies. Must-Have Skills Proven experience designing, building, and deploying AI and machine learning solutions in enterprise environments. Strong understanding of the end-to-end AI lifecycle, from data preparation through deployment, monitoring, and optimisation. Experience ...

static and dynamic wallpapers, trivia, featured experiences, and AI-driven content initiatives — that reach millions of Roku users worldwide. You will leverage AI and machine learning technologies to develop new capabilities that enhance user experiences across the Roku platform. This role requires a proactive, ownership-driven approach where … solutionsWhat experience would help someone be successful in this role at Roku? Extensive experience in a software engineering environmentDemonstrated project work using AI/ML and LLM technologiesProficiency in scripting languages such as JavaScript, TypeScript, React Native, Python, BrightScript, or related technologiesExperience working in an embedded environmentExperience in productionising solutions ...

maintain scalable data pipelines, datasets, and data models to support analytics, reporting, and AI use cases.AI & Advanced Analytics: Develop and implement AI/machine learning models where appropriate, supporting use cases such as prediction, classification, automation, and insight generation.Generative AI and Context Engineering: Develop generative AI enabled solutions … Python, SQL, and/or similar languagesExperience building data pipelines and working with structured and unstructured data.Familiarity with Generative AI and/or machine learning frameworks (e.g. scikit-learn, TensorFlow, PyTorch, Langchain) is desirable. Experience with cloud data platforms, data warehouses, or big data technologies is an advantage. ...

refactoring, and performance optimization to contribute to advanced AI research and evaluation projects . You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with … Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization . Develop reproducible environments ...

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 ...

data value chain. This is a senior role for someone who can set architectural direction, advise senior stakeholders and lead delivery teams, while integrating machine learning, Generative AI and Large Language Models into scalable, secure and sustainable solutions.This is a permanent within our Technology Solutions function. At Credera … data value chain- Experience designing scalable platform components spanning batch and real-time/streaming processing across microservices- and API-driven architectures- Experience integrating machine learning, Generative AI and foundation models into enterprise solutions, including agentic AI approaches- Experience implementing robust data management, security and governance for public ...

/ELT tooling, with a focus on performance, data quality, and reliability, incorporating virtualization.Front end user tooling such as reporting and dashboarding, advanced analytics, machine learning and A.I.AWS and Azure Cloud Native products e.g. Glue, Dataflow, DatabricksDemonstrable leadership experience, including leading engineers or technical teams and guiding delivery …/ELT tooling, with a focus on performance, data quality, and reliability, incorporating virtualization.Front end user tooling such as reporting and dashboarding, advanced analytics, machine learning and A.I.AWS and Azure Cloud Native products e.g. Glue, Dataflow, DatabricksInterviews will take place via video link. Sift and interview dates ...

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 ...

will:Design, build and maintain scalable data pipelines and data platformsDevelop analytics and AI-enabled solutions that support business decision-makingCreate and implement machine learning and generative AI solutionsIntegrate data from multiple sources while ensuring data quality and reliabilityWork closely with analysts, product teams and stakeholders to translate … Engineer, Data Developer or similarStrong programming skills in Python and SQLExperience building data pipelines and working with both structured and unstructured dataKnowledge of AI, machine learning or generative AI technologiesExposure to frameworks such as TensorFlow, PyTorch, LangChain or similarExperience working with cloud based data platforms and modern data ...

Engineer to join its expanding technology team. This is a great opportunity for a strong software engineer with commercial experience of AI, machine learning or generative AI to work on projects that are already being used across a large organisation.The successful candidate will work across the full development … security, monitoring and responsible useSkills:Strong commercial software development experience, ideally with C#/.NET and/or Python Hands-on experience with AI, machine learning or generative AI technologiesExperience working with Azure and cloud-based technologiesKnowledge of technologies such as Azure OpenAI, Microsoft Foundry, Semantic Kernel ...

including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent … including predictive forecasting and generative or agentic use cases; familiarity with SQL, APIs and modern data-integration technologies, and some exposure to Python or ML platforms (deep engineering isn't required); relevant EPM, cloud-data or AI certifications; and a professional finance or accounting qualification (ACA, ACCA, CIMA or equivalent ...

patterns and standards, ensuring solutions are scalable, reusable, secure, maintainable and cost-effective. Develop the platform and data architecture required to support AI and machine learning use cases, ensuring high-quality, accessible and appropriately governed data is available for AI solutions. Enable the development of reusable data products … modern software and data engineering practices including Git, CI/CD, automated testing, monitoring and deployment. Experience designing platforms that support analytics, data science, machine learning or AI applications. A strong understanding of data governance, data quality, security and data management principles. The ability to translate business requirements ...

hackajob is partnering directly with BNY Mellon to hire for this role. Vice President, AI/Machine Learning Data Engineer At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart ...

Lead Data Science and cross-functional teams to develop and deploy models that support customer and commercial decision-making. Responsibilities include: Building and deploying machine learning models across customer use cases Delivering projects focused on customer segmentation, lifetime value, and forecasting Supporting targeted marketing activity, including campaigns … impact Your Skills & Experience Strong commercial experience in Data Science, delivering end-to-end projects Proficiency in Python, with solid SQL skills Experience applying machine learning and statistical techniques to business problems Exposure to deploying models into production environments Understanding of cloud platforms such as GCP or Azure ...

customer loyalty programme. The Role You will work closely with the Data Science Lead and a small but growing team to develop and productionise machine learning solutions. Build and deploy models that support customer and commercial decision making Work on use cases such as customer segmentation, lifetime value … experience working with large datasets End to end experience delivering Data Science solutions from problem definition through to deployment Experience building and validating machine learning models Ability to communicate insights clearly to non technical audiences A practical, business focused approach to problem solving What They Offer Hybrid working ...

looking for a Chemist with genuine AI capability to steer that embedding, and lead a transformation. Not a chemist with a passing machine learning interest, and not a data scientist with a chemistry overlay. We’re looking for that rare combination of both. What We're Looking … domain skills in two areas : Your CV shows you to be highly capable in both Chemistry (organic/inorganic) and AI (LLM’s/ML frameworks/AI-enabled data analysis for technical R&D). You’d struggle to let either go. Curious and adaptable : You have genuine curiosity ...

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 ...