26 to 50 of 195 Machine Learning Jobs in Manchester

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 ...

Company Description 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 … only masters Data Science techniques but can also lead projects end-to-end – from initial client discussions and solution design to production deployment of ML models. You will be responsible for: Designing and implementing CV/ML/AI models (predictive, classification, LLM, recommendation systems, etc.), Selecting and optimizing algorithms ...

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 ...

optimisation of our modern data ecosystem. You'll help define technical strategy, drive engineering best practice and build the data foundations that power analytics, machine learning and operational decision making. Working closely with Data Scientists, BI Developers, Analysts and stakeholders across Technology and the wider business … warehouses, data lakes, lakehouses and streaming data platforms. Support the development of event-driven and real-time data architectures that enable advanced analytics and machine learning capabilities. Evaluate and implement modern data technologies, tools and frameworks to enhance analytics and data processing capabilities. Define and promote best practice ...

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 ...

Digital Humans in complex scenarios. By providing instant feedback anytime, anywhere, we support individuals to thrive in real-world settings, while hospitals accelerate staff learning curves to eradicate errors and inequalities in patient care. First founded by a medical doctor and PhD in Artificial Intelligence, Re:course are proud … frameworks and their ecosystems such as Celery and others. Understanding of data streaming and messaging frameworks Experience with building scalable machine learning (ML) infrastructures, MLOps tools and techniques to deploy, monitor, and manage continuous model deployment pipelines Experience with infrastructure automation tools such as Terraform About you Want ...

pace and become job-ready in as little as afew 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 support … 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 ...

Data Scientist Join a growing Data Science team within an insurance business where you'll tackle complex pricing challenges, build production-ready machine learning models, and work on projects that directly influence commercial outcomes. This is a great opportunity for someone who enjoys solving business problems as much … building models. The Role You will: Build, validate and deploy machine learning and statistical models Work with Python, SQL, Databricks and PySpark to analyse large datasets Solve pricing and risk-related business challenges Explore new data sources and test innovative ideas Own projects from problem definition through ...

critical role in expanding the impact of our Data & AI products across the Trips domain. You will define strategy and long-term vision for ML-powered capabilities that enable Trips product teams to move faster, make better decisions, and deliver step-change improvements in customer experience and marketplace performance. … liaison between Data & AI and the Trips product organization , serving as a trusted partner to senior product and business leaders. You will bring deep ML domain expertise , consult closely with product teams, and collaborate on identifying and shaping high-impact AI-driven opportunities across attractions, flights, and ground transport. This ...

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 ...

collaboration with senior technical customers and cross‐functional teams. The role is suited to a senior engineer with deep expertise in AI/ML security, modern software engineering, and secure‐by‐design approaches. You will champion secure architectures, embed DevSecOps practices, and help elevate engineering capability as the organisation adopts … looking for? Experience operating as a senior security engineer and leading engineering initiatives in a DevSecOps environment. Strong expertise securing AI and ML systems at scale, including model lifecycle security, data pipelines, and secure deployment. Strong hands‐on experience with machine learning stacks, such as PyTorch, TensorFlow, MLflow ...

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 ...

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 ...

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 ...

Working directly with senior client stakeholders to turn business challenges into technical solutions Delivering modern Lakehouse architectures, real-time analytics, AI and Machine Learning capabilities Championing best practices around governance, security, performance and cost optimisation Mentoring engineers and helping build a world-class Data & AI capability Staying ahead … client-facing and consulting skills The ability to translate complex technical concepts into business outcomes Bonus Points For: Experience with AI, Generative AI and Machine Learning operationalisation Power BI or Tableau experience Experience in Financial Services, Insurance, Retail or Healthcare Why You'll Want This Role Work ...

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 ...

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 ...

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. The Role At Canopius, our delivery teams are responsible for ensuring that business users can effectively … 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 and develop your expertise in analytics engineering, data modelling ...

complex data insights into tangible business value. Responsibilities: Optimise Fraud Detection: Continuously improve automated decision-making in our in-house THG Detect platform using machine learning and decision rules. Enhance Payment Performance: Lead data-driven initiatives to boost payment authorisation rates, optimise transaction routing, and reduce costs. Drive … automation. Requirements: Proficient with SQL & Python Proficient in a data visualisation software (Tableau/Looker/PowerBI/e.t.c.) Experience using a variety of machine learning algorithms Able to communicate effectively; using data to tell a story and drive business change Experience within Google Cloud preferential THG Ingenuity ...

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 ...

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 ...

insurance products. Analyse customer behaviour, price elasticity, retention, and demand to identify opportunities for profitable growth. Develop and enhance predictive models using statistical and machine learning techniques. Support the development of customer lifetime value and retention frameworks to improve pricing decisions. Utilise pricing, competitor, and behavioural data … commercially focused mindset with the ability to balance technical excellence with business outcomes. Technical Skills Python SQL SAS R Snowflake Databricks Power BI Tableau Machine Learning and Predictive Modelling Techniques GLMs, GBMs, Demand and Behavioural Modelling What's on Offer? Opportunity to influence pricing strategy at a senior ...

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 ...

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 ...