1 to 25 of 73 Remote/Hybrid Machine Learning Jobs in Manchester

problems with machine learning techniques. Always with an ethical and accurate lens. A Machine Learning & AI Engineerdesigning 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 ...

complex problems with machine learning techniques. Always with an ethical andaccuratelens. 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’llbe working with some … 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’llget stuck into side-of-the-desk projects ...

Design, train, and deploy production-grade ML models. About the Role As a Senior Machine Learning Engineer, you will lead the design, development, and deployment of production-grade machine learning systems for global enterprise clients. You'll work at the intersection of research and engineering, translating … cutting‐edge papers into scalable, reliable solutions. This is a high‐impact role where you'll mentor junior engineers, shape our ML architecture, and collaborate directly with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across ...

where data and AI can genuinely improve services, then design, build and evaluate solutions that work in practice. Our work can include statistical analysis, machine learning, natural language processing, generative AI and agentic systems. Senior Data Scientists combine hands‐on technical delivery with the judgement needed to work … science or AI could help; analyse complex or imperfect data and communicate what it can and cannot tell us; prototype, build and evaluate statistical, machine‐learning or AI systems; design and evaluate systems using large language models, retrieval, tools or agentic workflows; establish appropriate boundaries between model‐driven ...

this role you will work with high levels of autonomy and be responsible for the design, planning and technical leadership of multiple AI/ML projects. You will help lead and set technical and strategic direction for the group, support with customer and stakeholder engagement and deliver technical solutions … Skills and Experience****Requirements*** *BSc in Machine Learning, Data Science, Computer Science, Mathematics or related field.** *Multiple years experience of delivering novel ML solutions to customers and internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML ...

data science, behavioural insights and digital technology to help organisations connect more effectively with the communities they serve. Their cloud-based SaaS platform combines machine learning, AI and sophisticated web technology to support hundreds of thousands of customer interactions every week across sectors including Social Housing, Local Government …/TypeScript frontend. While previous ColdFusion experience is not required, you'll need strong commercial experience with another server-side technology and be comfortable learning CFML. You'll work closely with Software Engineering, Data Science, DevOps, QA and Business Analysis teams to develop secure, reliable and scalable software. ...

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 ...

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 ...

list a few. Role overview As a Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

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 ...

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 ...

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 ...

often loosely defined business questions into clear, actionable insight. The role leads high-value analytical work using Python, SQL, statistical methods and appropriate machine-learning techniques to explain what is happening, understand why it is happening and assess what may happen next. The jobholder combines analytical rigour with … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight. You'll use Python, SQL, statistical methods and appropriate machine-learning techniques to understand what's happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial … forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data. Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI Experience in financial services ...

Scientist, you'll turn complex and often loosely defined business questions into clear, actionable insight. You'll use Python, SQL, statistical methods and appropriate machine-learning techniques to understand what's happening, why it's happening and what could happen next. You'll combine analytical rigour with commercial … related forecasting methods. Experience developing customer churn, lifetime value, propensity, anomaly-detection or segmentation models. Experience analysing financial, operational, customer or risk data.Experience using machine-learning techniques beyond traditional statistical analysis. Experience with Snowflake or another cloud data platform, Streamlit, and Power BI. Experience in financial services ...

connecting PLM, MBSE, ERP, MES, engineering data and the wider enterprise architecture.* Define and lead AI-enabled engineering strategies, including generative AI, engineering copilots, machine learning and intelligent automation, integrating them with digital thread, digital twin, simulation and software-defined product approaches to deliver measurable value.* Shape responsible … scaled adoption, and business outcomes. • Experience identifying, assessing and scaling high-value AI use cases across the engineering lifecycle, including generative AI, engineering copilots, machine learning and intelligent automation. • Strong understanding of AI and data foundations, including data quality, knowledge architectures, platform integration, responsible AI governance, privacy, security ...

requirements that can be delivered as effective AI‐powered agents, workflows, integrations, knowledge sources and customer experiences. You do not need to be a machine learning engineer or a software developer. However, you do need to demonstrate comfort working with AI tools, understanding how AI agents behave, thinking … Awareness of AI risks such as hallucination, bias, unsafe responses, poor escalation design or unreliable knowledge sources. You do not need to be: A machine learning engineer. A data scientist. A software developer. An AI researcher. A prompt engineering expert. A traditional BA who only writes requirements ...

helping several teams agree on a practical way forward. GTI is part of Arm’s Strategy & Ecosystems organisation and works with teams across graphics, machine learning, drivers, developer tools, and performance. Responsibilities The Principal Software Engineer will: Lead game-engine investigations and integrations involving new Arm graphics … partners' offices. Nice to Have Experience in some of the following areas would be useful: Unreal Engine, mobile graphics, Android, or Arm Mali GPUs. Machine learning for graphics, neural rendering, upscaling, frame generation, or development with pre-release hardware and software. We don't expect a deep level ...

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 ...

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 ...

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 ...

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 ...