126 to 150 of 165 Machine Learning Jobs in the Midlands

pressure, with strong attention to detailCollaborative by nature, used to working across technical teamsDesirable but not essential:knowledge of telemetry and simulation data, some machine learning exposure, and familiarity with cloud-based data platforms.Additional Information#LI-KH1Atlassian Williams F1 Team is an equal opportunity employer that values diversity ...

embedded within S/4 standard and extended capabilities.Required Qualifications:• University Degree in Data Science, Compliance Management, IT or a related discipline. Understanding of machine learning, AI frameworks (e.g., TensorFlow, PyTorch), and data pipelines.• 10+ years in Digital Transformation Leadership, which could include SAP-enabled Data Management, Regulatory ...

React UI components. You will design cloud-native solutions on GCP, deploy with Kubernetes, and enhance vector search capabilities, collaborating with architects and ML engineers. This onsite role offers direct-hire benefits and opportunities to mentor peers while owning end-to-end technical solutions across the stack. #J-18808-Ljbffr ...

analysts and customers see and drives progress through year-end. You will design data pipelines, build dashboards with React, develop RESTful APIs, and deploy ML models on AWS, collaborating with analysts, engineers, and product managers across the rail business. #J-18808-Ljbffr ...

Streaming)• Databricks & Lakehouse Architectures• Data Modelling & Optimisation (Delta Lake, Medallion architecture)• Collaboration & Best Practices• Quality, Governance & SecurityBusiness Relationships• Solution Architects• Data Engineers, Developers, ML Engineers, and Analysts• Client stakeholders up to Head of Data Engineering, Chief Data Architect, and Analytics leadershipTo thrive in this role, you need to have … Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines.• Understanding of data governance, security, and compliance frameworks.• Exposure to AI/ML workloads desirable. Experience, Qualifications, and Education• Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years ...

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire ...

distributed data processing, data lakes, and data products. You will collaborate with engineers, data scientists, and governance teams to drive real-time data capabilities, ML/AI readiness, and scalable data platforms across the organization. #J-18808-Ljbffr ...

data processing, data storage and data products, working with engineers, data scientists and governance teams. The role focuses on building scalable data pipelines, harnessing ML/AI capabilities, and driving standards across the data platform. Hybrid London or Nottingham with strong benefits and career growth. #J-18808-Ljbffr ...

technically guiding software engineers Strong understanding of backend architecture, APIs and scalable systems Knowledge of database systems Experience developing, integrating or deploying AI/ML-powered solutions Exposure to LLMs, AI-assisted development tools and modern AI frameworks What's on offer Alongside the salary, you'll receive flexible working ...

architecture standards Provide technical leadership and mentorship to internal teams, partners and suppliers Drive innovation by evaluating emerging technologies including SAP BTP, AI/ML capabilities, RISE with SAP, and cloud transformation opportunities Identify opportunities to maximise return on investment and create measurable business value from SAP technologies What ...

hackajob is partnering directly with Leonardo to hire for this role. Job Description: Salary Range: £54,000 - £70,000 Leonardo UK operates a grade-based salary framework with broad bands. The salary range shown reflects ...

A leading company is seeking a talented Data Scientist in Birmingham to lead the design of predictive models impacting finance, operations, and sales. This role offers significant ownership over model development and requires a deep ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI. As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB) A track record in leading ...

education sectors. A dynamic and highly strategic leader in digital transformation, you will demonstrate exceptional leadership skills with a deep understanding of AI, machine learning, and digital solutions. You will bring senior experience of leading major digital transformation programmes and managing complex organisational change, combined with a genuine ...

product teams to deliver scalable, high‐quality systems and guide backend delivery from design through deployment. The role emphasizes strong C++ expertise, AI/ML integration, and technical leadership, with hybrid work and regular in‐office collaboration at our Solihull offices. #J-18808-Ljbffr ...

data in real-time, the structuring, storage and processing of that data for insight, to the usage of the data in event driven applications, ML and AI.As a Senior Manager Architect in Data you will be an experienced technical leader bringing business, industry and deep technical understanding to shape … specific expertise in Distributed Data Processing architectures (Spark, PySpark, Python, Airflow), ELT data processing underpinning Data LakeHouses and Data Products for scaled use within ML & AI* Expertise in Streaming Data, Event Driven Design, Data Governance & the AWS Cloud Technology stack (e.g. Glue, ServerLess, DynamoDB)* A track record in leading ...

translate complex data into actionable insights that influence fixed income decisions across active funds. You will collaborate with portfolio management and trading teams, exploring machine learning and alternative data to enhance Agency MBS and ACMBS strategies. The role emphasizes rigorous quantitative analysis, communication, and the ability to connect ...

their security requirements. Experience designing and managing relational database schemas. Familiarity with Git source control and collaborative software development workflows. A strong aptitude for learning new technologies and working outside your existing areas of experience. Good independent problem-solving skills. Ability to use initiative and take ownership of assigned … platforms such as Microsoft Azure or AWS. Experience with containerisation technologies such as Docker. Automated testing and continuous integration or delivery. Data analytics or machine learning. Internet of Things systems and applications. Benefits: Competitive salary from 38k per annum based on your previous experience. Market-leading, company-funded training ...

behaviour, investment, sales and performance. Embed privacy, security, consent, retention and cross-border data requirements into the architecture from the outset. Define how analytics, ML, AI services and agents access structured data safely and consistently. Produce data models, flows, lineage, architecture decision records and reusable design patterns for engineering … ideally including dbt. Experience with consumer, digital and transactional data at scale, including web and app analytics and GA4. Understanding of data design for ML, AI or automated decisioning, including trusted definitions, controlled access and decision/outcome capture. Knowledge of privacy and security by design across multiple jurisdictions, including ...

into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations … functional teams, including Architects, Product Managers, and engineering leads, to deliver innovative and impactful solutions.Mentor and guide junior developers, fostering a culture of continuous learning and knowledge sharing.Oversee the implementation and maintenance of CI/CD pipelines to ensure effi cient and reliable software delivery.Maintain high standards of code ...

product infrastructure that support education product features and platform experiencesMove quickly from prototype to production, balancing speed, quality, maintainability, and user impactIntegrate and productize ML/AI solutions in close collaboration with digital experience and platform engineering teamsBuild and maintain automation, plugins or SDKs for CAD platforms (e.g., Fusion, Revit … participate actively in code reviews and design discussions; follow security and data-handling best practicesCollaborate closely with product managers, designers, researchers, frontend engineers, ML engineers, and platform teams to turn ambiguous problems into shipped featuresDocument designs, APIs, runbooks and hand-off materials to product teams, and help onboard other engineers ...

calibrate assessments, and help onboard new team members effectively. Partner with the Data Engineering Manager on team development planning, identifying skill gaps and proposing learning opportunities. Ensure team members feel supported, challenged, and set up to do their best work.Governance & Collaboration: Partner with Data Governance to embed data quality … platform architecture patterns and their practical application in a scaled organisation. Experience with GCP cost management and BigQuery cost optimisation strategies. Broader exposure to ML infrastructure, feature engineering pipelines, or data science platform enablement.CLOSING DATE: 21st AugustLOCATION:Please note this is a hybrid role and requires the successful candidate ...

solutionsHelping Version 1 work on proposals with your technical skillsUse your expertise to provide some thought leadershipSignificant experience as a cloud/AI/ML solution architect designing production AI/ML platforms and workloads on AWS (or multi‐cloud with strong AWS depth).Deep understanding of AI/ML … prototype environments to enterprise‐ready architectures, balancing speed, robustness, and long‐term maintainability.Strong background in cloud security, networking, and cost optimisation for AI/ML workloads.Excellent stakeholder skills, able to translate business objectives and programme pressures into clear architectural decisions and technical direction for engineering teams.QualificationsEssential criteria:Experience ...

Technology. Proven experience in business development within a medium to large scale IT services provider specifically into the Insurance sector Experience with AI/ML use cases in underwriting, claims, and fraud. Familiarity with cloud ecosystems (AWS, Azure), actuarial data environments, and Insurtech integration. Additional InformationWhy join Version 1 Share … employees.Professional Growth: We offer peer mentorship programs and career development opportunities to help you reach your full potential, giving you full access to modern learning platforms to grow your skills.Work-Life Balance: We understand the importance of work-life balance and offer flexible working arrangements.Supportive Community: Join a team ...

What You’ll Be Doing Lead design and development of Java microservices (Spring Boot/Quarkus) on Google Cloud. Drive integration of AI/ML and generative AI capabilities into sales applications. Partner with innovation and data teams to operationalize AI into production systems. Guide architecture decisions on APIs, event … work in the US without visa sponsorship. Practical exposure to Python-based services and ability to extend/refactor them. Experience integrating AI/ML or generative AI services into production enterprise systems. Understanding of security, governance, and responsible AI considerations. Ability to influence architectural direction without direct supervisory authority. ...