284 jobs found

Job Tittle: Python Developer (Automation and Networking)/ Python Automation developer Location: Chester - 3 days a week onsite Contract: 12 months Rate: Highly competitive Status: Inside IR35 Working pattern: Full time Are you passionate about Python and automation? Do you thrive on solving complex problems and creating efficient solutions? If so, we have an exciting opportunity for you to make a real impact! Join Our Dynamic Team! We are looking for a talented Python Automation Developer to join our vibrant team! This is a fantastic chance to work on innovative projects while collaborating with a group of enthusiastic professionals who share your passion for technology. Required Skills Strong Python programming skills with experience developing automation tools and operational workflows. Working knowledge of Django for developing and maintaining internal operational platforms, APIs, and automation services. Experience consuming and integrating REST APIs and working with JSON/XML data formats. Familiarity with infrastructure automation and configuration management tools such as Ansible. Network Operations, Infrastructure Engineering, Network Automation, or Site Reliability Engineering Experience working in Linux environments, including troubleshooting and system administration tasks. Understanding monitoring, telemetry, observability, and event management platforms. Hands-on experience with Git and collaborative development practices. Preferred Skills Experience building automation for Network Operations Centers (NOC) or Infrastructure Operations teams. Familiarity with Infrastructure as Code (IaC) concepts and practices. Exposure to CI/CD pipelines supporting infrastructure and automation deployments. Understanding of event-driven automation, self-healing workflows, and operational orchestration. Knowledge of ServiceNow integration, operational tooling, or workflow automation platforms. Exposure to data analytics, network telemetry, or operational reporting. Solid understanding of enterprise networking concepts including Routing and Switching, TCP/IP, Wireless Networking, Cisco SD-WAN, Network Security fundamentals Experience with network automation frameworks and libraries such as Netmiko, Paramiko What You'll Do: As a Python Automation Developer, you will: Design, develop, and implement automation scripts using Python to streamline operations. Collaborate with cross-functional teams to identify automation opportunities and requirements. Troubleshoot and debug existing automation solutions to enhance performance and efficiency. Write clean, maintainable, and efficient code while adhering to best practises. Participate in code reviews and contribute to team knowledge sharing. Stay updated with the latest trends and technologies in automation and Python development. Why Join Us? Work in a supportive and friendly environment where your ideas are valued. Engage with exciting projects that challenge your skills and ignite your creativity. Enjoy flexible working hours and a culture that promotes work-life balance. Collaborate with a diverse team of professionals who are passionate about what they do. Opportunities for professional growth and development! How to Apply: Ready to take the leap? Send us your resume and a cover letter detailing your relevant experience and why you'd be a great fit for our team! Don't miss out on this chance to shine as a Python Automation Developer. Application Deadline: Insert Deadline We can't wait to meet you and explore the exciting possibilities together! Let's automate the future! Join us in our mission to innovate and automate! Your journey starts here! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13121 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13119 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Data & AI Delivery Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13120 Senior Data & AI Delivery professionals are required to lead the delivery of complex data transformation and AI programmes within financial services and capital markets environments. You will bring experience delivering large scale data and AI initiatives within complex environments and play a key role in shaping delivery strategy, leading teams and driving transformational change, helping organisations solve complex operational, technical and business challenges through data and AI adoption. You will work across multidisciplinary teams, collaborating with Data Engineers, AI Engineers, Architects, Data Scientists and senior stakeholders to drive programme delivery, shape solutions and support organisations through complex transformation initiatives. Key responsibilities: Leading the delivery of complex data and AI transformation programmes across multiple workstreams Managing multidisciplinary teams to deliver business critical technology outcomes Collaborating directly with clients to understand challenges and shape tailored solutions Translating technical requirements into business outcomes and delivery plans Managing programme risks, dependencies, timelines and stakeholder expectations Supporting the implementation of modern data platforms and AI driven solutions Providing technical guidance and oversight across delivery teams Building and maintaining strong relationships with client and business stakeholders Supporting programme governance, reporting and communication across large initiatives Applying market and industry knowledge to help shape client strategies and solutions Supporting pre sales activity, technical proposals and client presentations Coaching and mentoring team members across multidisciplinary environments Experience Required: Experience delivering large scale data, AI or technology transformation programmes Background within consulting, programme delivery, implementation or transformation environments Experience leading teams across complex projects and multiple workstreams Strong communication and stakeholder management skills with the ability to bridge technical and business audiences Experience gathering requirements and shaping solutions aligned to business objectives Understanding of AI technologies, modern data platforms and data management principles Knowledge of data governance, data quality and data strategy concepts Familiarity with delivery methodologies including Agile, Waterfall or SAFe Experience with tooling such as Jira, Confluence or similar platforms Exposure to cloud platforms including AWS, Azure or GCP and technologies such as Databricks, Snowflake, SQL or Python Financial services experience within capital markets or broader banking environments This is a strong opportunity for a delivery leader who wants to work on high impact data and AI transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: Manchester Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13116 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Senior AI Engineer Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13114 Senior AI Engineering professionals are required to support the design, build and delivery of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI engineering and enterprise solution delivery within complex environments. You will play a key role in shaping AI strategy, leading teams and delivering enterprise AI solutions, helping organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building and deploying AI prototypes, products and production ready solutions Designing and implementing end to end AI solutions that integrate with enterprise systems Working with LLMs, prompt engineering, RAG patterns, embeddings and fine tuning Developing AI agents and agentic workflows using modern frameworks Working with vector databases, APIs and modern data platforms Supporting AI deployment, serving patterns, evaluation frameworks and integration design Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data privacy and regulatory risks Contributing to technical documentation, solution design and delivery planning Supporting AI implementation and scaling initiatives across complex environments Leading and developing teams, supporting capability growth through mentoring, coaching and creating a collaborative, high performing environment Experience Required: Strong Python and SQL experience Applied AI engineering, ML engineering or software engineering background Experience with LLMs, RAG, embeddings, prompt engineering or fine tuning Exposure to LangChain, LangGraph, Agent Development Kit or similar agent frameworks Experience with vector databases such as Pinecone, Chroma or similar API development experience, ideally with FastAPI or similar frameworks Knowledge of MLOps, LLMOps, CI/CD or production deployment practices Experience designing or supporting evaluation frameworks for AI or agentic systems Experience working with modern data architectures and cloud platforms Understanding of AI risk, governance, security and regulatory considerations Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI engineering professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Order Ref: (phone number removed) Position Title: Data Analytics - Software and Systems Defects Duration: Contract Location: Gaydon Duties: This role (data analytics - Software and Systems Defects) is focused on ensuring the integrity, consistency and usability of software and systems defect data across all areas of the business. The defects are created and managed in JIRA and visualised in Tableau. This role bridges the gap between the testing engineers, the defect resolution engineers and the releasing teams by analysing the complex datasets, resolving tooling issues, and preparing high-quality data for decision-making and reporting. Skills: Ability to support project planning with data-driven insights. Ability to create transparent weekly Senior-Management Reporting Ability to interact with key engineering stakeholders to ensure metrics are aligned and correct Ability to interpret the data to determine the key messages that should be shared. Ability to ensure data integrity is maintained, by monitoring tickets for common errors Ability to coach other users with the best practice on defect tooling, data consistency and cleanliness Visualisation tool (e.g. Tableau) experience would be beneficial Why work through Contechs? Contechs is a leading Automotive, Design, Engineering, Technology and Innovation Recruitment Consultancy. Founded in 1997, with an inhouse Contractor Care Team to support all external employees, acts as an employment agency for permanent and contract recruitment. How to Apply If you're interested in applying for this position, submit your application and one of our recruiters will be in touch. If you know anyone that is suitable for the role, please visit the below page where we offer up to 600 referral fee: (url removed)

Have you had a career break of 12+ months? Do you have 5+ years of commercial experience in industry? Are you ready to re-join the workforce with training and career coaching included? Then you'll want to hear about the UK's leading Returners Programme and how it helps 100+ returners restart their careers every year. Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 500 careers since 2016, our Returners Team are here to support you through every stage of the journey, ensuring you have the confidence, skills and opportunity to step back into a successful and rewarding career in business or technology. FDM is a business and technology consultancy that services the industry across five core specialisms. Each of our Practices provides our Returners with a career path in their most suited field, so we can help you develop and build on your previous skills and experience across multiple capabilities. The FDM Practices Software Engineering Change & Transformation IT Operations Data & Analytics Risk, Regulation & Compliance You'll join FDM as a Consultant and provide services to our clients relating to your field and Practice. There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies in your return to the workforce. Ready to launch the next phase of your career? At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want. Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially. Minimum qualifications Looking to return to work after a break in your career of 1+ year At least 5 years of previous commercial industry experience A strong aptitude and interest in business and technology Commitment to at least two years of full-time employment with FDM The right to work in the UK Why join us? Career coaching, mentoring and access to upskilling throughout your entire FDM career Initial upskilling pre-assignment that has been accredited by TechSkills Assignments with global companies and opportunities to work abroad Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Have you had a career break of 12+ months? Do you have 5+ years of commercial experience in industry? Are you ready to re-join the workforce with training and career coaching included? Then you'll want to hear about the UK's leading Returners Programme and how it helps 100+ returners restart their careers every year. Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 500 careers since 2016, our Returners Team are here to support you through every stage of the journey, ensuring you have the confidence, skills and opportunity to step back into a successful and rewarding career in business or technology. FDM is a business and technology consultancy that services the industry across five core specialisms. Each of our Practices provides our Returners with a career path in their most suited field, so we can help you develop and build on your previous skills and experience across multiple capabilities. The FDM Practices Software Engineering Change & Transformation IT Operations Data & Analytics Risk, Regulation & Compliance You'll join FDM as a Consultant and provide services to our clients relating to your field and Practice. There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies in your return to the workforce. Ready to launch the next phase of your career? At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want. Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially. Minimum qualifications Looking to return to work after a break in your career of 1+ year At least 5 years of previous commercial industry experience A strong aptitude and interest in business and technology Commitment to at least two years of full-time employment with FDM The right to work in the UK Why join us? Career coaching, mentoring and access to upskilling throughout your entire FDM career Initial upskilling pre-assignment that has been accredited by TechSkills Assignments with global companies and opportunities to work abroad Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more Access to the Buy As You Earn share scheme FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Bolton Join our Data Fabric Services team in our Information Systems department as a Senior Data Engineer working across all directorates: Engineering, Simulation, Test, Production, Quality, Supply Chain, MRO, and Corporate Functions. Salary: Circa £55,000 depending on experience Dynamic (hybrid) working: 2 days per week on-site due to workload classification Security Clearance: British Citizen or a Dual UK national with British citizenship Restrictions and/or limitations relating to nationality and/or rights to work may apply. As a minimum and after offer stage, all successful candidates will need to undergo HMG Basic Personnel Security Standard checks (BPSS), which are managed by the MBDA Personnel Security Team. What we can offer you: Company bonus: Up to £2,500 (based on company performance and will vary year to year) Pension: maximum total (employer and employee) contribution of up to 14% Overtime: opportunity for paid overtime Flexi Leave: Up to 15 additional days Flexible working: We welcome applicants who are looking for flexible working arrangements Enhanced parental leave: offers up to 26 weeks for maternity, adoption and shared parental leave -enhancements are available for paternity leave, neonatal leave and fertility testing and treatments Facilities: Fantastic site facilities including subsidised meals, free car parking and much more The opportunity In this role you will design enterprise-wide data and BI solutions brought together from varied sources - business data, simulators, missile test systems, shop-floor machines - and then turning them into a governed, value-generating asset. Key Responsibilities Capture needs and deliver end-to-end data solutions across technical and business domains. Build scalable ETL/ELT and streaming pipelines from simulators, HIL/SIL benches, MES/SCADA, ERP, and PLM. Architect data lakes, warehouses, lakehouses, and time-series stores. Develop Power BI analytics for self-service, KPI monitoring, and executive reporting. Define data models, governance, quality, lineage, and security aligned with defence requirements (ITAR/EAR, cybersecurity). Drive DataOps: CI/CD, monitoring, CaaS - Container as a Service - integration model on hybrid/on-prem environments. Hard Skills Experience in data engineering, ideally aerospace/defence or industrial sectors. ETL/ELT tools (Airflow, Azure, Microsoft SSIS), streaming (Spark, Kafka). Strong Python and SQL; C++, C#, or MATLAB a plus. Databases: PostgreSQL, SQL Server, Oracle, Snowflake, Iceberg, TimescaleDB. Data Platform Capabilities: Low-Code No-Code Data Science solutions (Dataiku, Knime), Data Virtualisation (Dataiku, Ab Initio, Starburst), Data Visualisation (Power BI, DAX, Tableau) T/OT integration, Industry 4.0. DevOps/DataOps: Git, Docker, Kubernetes, CI/CD. Awareness of DO-178C, ISO 27001, MOD guidelines appreciated. Soft Skills Transverse mindset Autonomy and ownership Strong collaboration across multidisciplinary international teams Pragmatic problem-solving Our company: Peace is not a given, Freedom is not a given, Sovereignty is not a given MBDA is a leading defence organisation. We are proud of the role we play in supporting the Armed Forces who protect our nations. We partner with governments to work together towards a common goal, defending our freedom. We are proud of our employee-led networks, examples include: Gender Equality, Pride, Menopause Matters, Parents and Carers, Armed Forces, Ethnic Diversity, Neurodiversity, Disability and more We recognise that everyone is unique, and we encourage you to speak to us should you require any advice, support or adjustments throughout our recruitment process. Follow us on LinkedIn (MBDA), X Instagram (MBDA_UK) and Glassdoor or visit our MBDA Careers website for more information.

Have you had a career break of 12+ months? Do you have 5+ years of commercial experience in industry? Are you ready to re-join the workforce with training and career coaching included? Then you'll want to hear about the UK's leading Returners Programme and how it helps 100+ returners restart their careers every year. Our Returners Programme is specifically designed to support professionals returning to work after a career break. Having restarted over 500 careers since 2016, our Returners Team are here to support you through every stage of the journey, ensuring you have the confidence, skills and opportunity to step back into a successful and rewarding career in business or technology. FDM is a business and technology consultancy that services the industry across five core specialisms. Each of our Practices provides our Returners with a career path in their most suited field, so we can help you develop and build on your previous skills and experience across multiple capabilities. The FDM Practices Software Engineering Change & Transformation IT Operations Data & Analytics Risk, Regulation & Compliance You'll join FDM as a Consultant and provide services to our clients relating to your field and Practice. There are progression opportunities towards Principal Consultant level and the opportunity to explore diverse roles and assignments for a range of global companies in your return to the workforce. Ready to launch the next phase of your career? At FDM, we find driven people from diverse backgrounds. Dedicated to your continuous growth, we offer a non-linear career journey with our Skills Lab helping guide you to the future you want. Your skillsets will grow. Clients will value your increased expertise. And your career will thrive exponentially. Minimum qualifications Looking to return to work after a break in your career of 1+ year At least 5 years of previous commercial industry experience A strong aptitude and interest in business and technology Commitment to at least two years of full-time employment with FDM The right to work in the UK Why join us? Career coaching, mentoring and access to upskilling throughout your entire FDM career Initial upskilling pre-assignment that has been accredited by TechSkills Assignments with global companies and opportunities to work abroad Opportunity to obtain certifications from Microsoft, Salesforce, Cisco and more FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Data Analyst Programmer /Data Scientist Location: Larne, Northern Ireland (100% On-site) Duration: 12 Months Contract with potential extension Payrate: 33.25 - 42 per hour Inside IR35 Relocation: Open to candidates willing to self-relocate to Larne; please note that no relocation allowance/bonus is provided . About the Role We are recruiting for a global leader in heavy machinery and industrial power systems. We are recruiting for Data Analyst, this is individual contributor role focuses on developing reliable data pipelines, executing analytics, and driving automation initiatives across high-priority workstreams. You will join a collaborative, 3-person local team to bridge capability gaps and maintain delivery momentum. Key Responsibilities Data Engineering: Build and maintain ETL/ELT pipelines using Python, SQL, and Snowflake . Automation & CRM: Create dashboards and automated workflows via Microsoft Power Platform (Power BI, Power Apps, Power Automate) and integrate Salesforce data. Analytics: Provide curated datasets, support KPI development, and troubleshoot data issues. What We Are Looking For Experience: 3-5+ years in data science, analytics, data engineering, or automation roles. Technical Skills: Strong proficiency in Python, SQL, Snowflake , and Microsoft Power Platform . Experience with Salesforce CRM data is highly preferred. Soft Skills: A proactive self-starter with strong stakeholder management and an ownership mindset. Education: A relevant degree is preferred. This is an urgent role where Hiring Manager is looking to shortlist for an interview urgently. If you are interested then please apply with a copy of your CV or send your CV to khushboo .co .uk Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Conrad Consulting is partnering with a leading international consultancy to recruit a Senior Data Analyst to join their expanding Project Controls and Digital Performance team. This is an exciting opportunity for an experienced data professional to work on major infrastructure, construction, and capital investment programmes, helping clients make informed decisions through high-quality data analysis, reporting, and visualisation. The successful candidate will play a key role in transforming complex project data into meaningful insights, supporting project teams and senior stakeholders in driving performance, identifying trends, and improving project outcomes. Key Responsibilities Lead the analysis of project and programme performance data across complex projects. Develop and maintain dashboards, reports, and management information to support project controls and decision-making. Translate complex datasets into clear, actionable insights for clients and project teams. Identify trends, risks, opportunities, and performance issues through detailed data analysis. Collaborate with project controls, planning, commercial, and risk teams to ensure consistent and accurate reporting. Support the development of reporting frameworks, data governance processes, and performance metrics. Present findings and recommendations to senior stakeholders and client leadership teams. Mentor junior analysts and contribute to the continued development of the data and analytics capability. Requirements Minimum 10 years' experience in data analysis, reporting, or project performance analytics. Strong experience analysing large and complex datasets within project, programme, or portfolio environments. Advanced proficiency in Microsoft Excel, Power BI, and other reporting and visualisation tools. Experience developing executive-level dashboards and management reporting packs. Strong analytical and problem-solving skills with the ability to communicate complex information clearly. Experience supporting major infrastructure, construction, engineering, or capital project environments would be advantageous. Degree qualified in a relevant discipline or equivalent professional experience. What's on Offer Opportunity to work on high-profile and nationally significant programmes. Exposure to industry-leading project controls and performance management practices. Flexible and hybrid working arrangements. Competitive salary and comprehensive benefits package. Clear opportunities for career progression and professional development.

Analytics Engineer - Permanent 58,000 - 68,000 + 10% Bonus Hybrid - Woking - 1-2 Days a week We're working with a fast-growing, purpose-driven organisation delivering services at scale across the UK. They're currently investing heavily in their data capability and are looking for an Analytics Engineer to help build and shape a modern, in-house analytics platform. The Role You'll play a key role in developing robust data infrastructure and delivering actionable insights. Working closely with cross-functional teams, you'll translate business needs into scalable data solutions and help drive data-led decision making. What You'll Do Build and maintain data pipelines using Python across multiple data sources Design and develop dimensional data models in a cloud data platform (e.g. Snowflake) Partner with BI teams to deliver insights via reporting tools Optimise performance, reliability, and cost efficiency of the data platform Implement best practices in CI/CD, data governance, and quality Collaborate with stakeholders across the organisation What We're Looking For Strong SQL and production-level Python experience Experience with cloud data platforms and data modelling tools (e.g. dbt) Solid understanding of ELT pipelines and data engineering principles Strong analytical thinking and problem-solving skills Excellent communication and stakeholder management Why Join? Opportunity to build and shape a growing data function Work in a collaborative, fast-paced environment Strong focus on development and career progression Competitive benefits package So, if this role sounds of interest, please apply today!

Position Summary We are seeking motivated and innovative Junior Healthcare AI Specialists to join our team and contribute to the development of advanced artificial intelligence solutions that support healthcare professionals, improve patient outcomes, and enhance operational efficiency across healthcare environments. This role combines expertise in artificial intelligence, data science, and healthcare systems to create technologies that address real world clinical and organizational challenges. Successful candidates will work closely with multidisciplinary teams including clinicians, researchers, software engineers, healthcare administrators, and data professionals to design, implement, and evaluate AI driven solutions. The successful candidate will be responsible for transforming complex healthcare data into meaningful insights, developing machine learning models, supporting clinical decision making, and ensuring that AI systems are safe, reliable, and aligned with ethical and regulatory standards. This position offers an exciting opportunity to apply cutting edge technology in a field where innovation can have a direct and measurable impact on the quality of care provided to patients. Key Responsibilities Design, develop, and deploy AI and machine learning solutions for healthcare applications. Analyze clinical, operational, and patient data to identify opportunities for AI-driven improvements. Build predictive models, decision-support systems, and generative AI applications. Ensure compliance with healthcare regulations, privacy requirements, and ethical AI standards. Monitor deployed AI systems and continuously improve performance and accuracy. Required Qualifications / Skills Bachelor's degree in Computer Science, Data Science, Biomedical Engineering, Health Informatics, or a related field. Knowledge of healthcare data systems and electronic health records (EHRs). Understanding of data privacy, security, and healthcare compliance requirements. Ability to communicate complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving skills. Preferred Qualifications / Skills Experience with healthcare AI, clinical analytics, or medical data science. Experience with machine learning frameworks such as PyTorch, TensorFlow, or Scikit-learn. Familiarity with cloud platforms including AWS, Azure, or Google Cloud. Experience with generative AI, large language models (LLMs), and retrieval-augmented generation (RAG). Technical Skills Python SQL Machine Learning MLOps Cloud Computing Data Engineering Statistical Analysis Core Competencies Cross-functional collaboration Critical thinking Communication skills Project management Continuous learning mindset We welcome applications from motivated individuals who are eager to make a meaningful contribution to healthcare innovation. If you are ready to develop your skills, collaborate with talented professionals, and help create the next generation of AI driven healthcare technologies, we would love to hear from you.

Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture. We are now looking for a Data Visualisation Engineer to join the Data team. This role plays a critical part in enhancing our in-house data platforms, combining visualisation expertise, data storytelling, and user-centred design to help people better understand and act on data. You'll help improve how people interact with our newsroom analytics platform, Ophan, while also contributing to the design and experience of data products across our wider ecosystem. You will help shape how data is presented and explored across our products, balancing user needs, technical considerations, and business goals. While rooted in the fast-paced environment of a modern newsroom, the role offers opportunities to work on data challenges and design patterns that are highly transferable across data-rich digital products and organisations. About the role: Translate complex datasets into clear, accessible charts, graphs, and visual narratives for a variety of audiences Design and develop interactive, visually compelling dashboards and reports Ensure data accuracy, consistency, and integrity Clearly communicate data visualisation concepts and visual approach rationale to both technical and non-technical audiences using industry-standard visualisation and prototyping tools Stay informed on emerging trends and best practices in data visualisation and design, applying improvements where relevant About you: Demonstrated experience in data visualisation, including designing and implementing data-rich interfaces, dashboards, or analytical tools that help users understand and act on information Experience implementing data visualisations in code, or working closely with engineers to bring visual designs into production (including charts, dashboards, prototypes, and interactive experiences). Familiarity with charting libraries such as highcharts or d3.js or platforms such as Tableau Communication and collaboration skills, with the ability to clearly explain data visualisation concepts to both technical and non-technical audiences Awareness of current trends and best practices in data visualisation design, accessibility, and user experience Our current stack is listed below, but we believe skills are transferable, so do not require familiarity with any specific technologies or languages for this role: Ophan, our in-house editorial analytics platform, uses Typescript and React on the frontend, and highcharts for charting BigQuery, Tableau & Alation are also used across our data landscape We actively encourage applications from groups traditionally underrepresented in the UK media We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements. How to apply To apply, please upload your latest CV. We don't require a cover letter but we'll ask you a question about data visualisation as part of the application questionnaire. This question should take no longer than 5 minutes to answer, so please factor in the extra time when applying. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. Thank you for bearing with us during the screening process. The closing date for applications is Wednesday 8th July 2026 . All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on to discuss further so we can work with you to support you through your application. Benefits at the Guardian You'll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available. You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance. We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy. Culture and wellbeing We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner. Learning and development We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.

We are professionals with purpose, beating cancer every day. But we need to go much further and much faster. That's why we're looking for someone talented, someone who wants to develop their skills, someone like you. £81,000-£85,000 (+ Benefits) Directorate : Chief Operating Office Contract: Permanent Hours: Full time 35 hours per week Location: Stratford, London . Office-based with high flexibility (1-2 days per week in the office) External closing date: 5th July 2026 Internal closing date: 10th July 2026 This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment. If you require more time to apply as part of a reasonable adjustment, please contact as soon as possible. Recruitment process: Screening call at 1 st stage, and 2 nd stage Technical interview with Technical test How do I apply? We operate an anonymised shortlisting process in our commitment to equality, diversity, and inclusion. CVs are required for all applications; but we won't be able to view them until we invite you for an interview. Instead, we ask you to fully complete the work history section of the online application form for us to be able to assess you quickly, fairly, and objectively. At Cancer Research UK, we exist to beat cancer. We're looking for an experienced Data Engineering Manager to act as the lead for new data engineering technologies, setting standards, providing technical guidance, and ensuring consistent capability across the organisation, driving the design, scale, and optimisation of our data platform. This role combines hands-on technical leadership across Snowflake, dbt, AWS, and Python with strong people leadership, championing best practices in DataOps, observability, and dimensional modelling. You'll play a key role in enabling Data Product delivery by building reliable, high-performance data pipelines, enhancing metadata and data catalog capabilities, and embedding AI tools and use cases within the engineering team. Working in an agile environment, you'll foster a culture of innovation, collaboration, and continuous improvement while helping shape our data-driven future. What will I be doing? Design, develop, and maintain scalable, efficient, and reliable data products using Snowflake, dbt, AWS, Python alongside Data Observability, Data Quality and Data Catalog/Discovery tools. Delivering highly governed data pipelines end to end. Thought leadership and expert in dimensional modelling and data warehousing best practices to ensure efficient data product provisioning and that data is structured optimally and cost efficiently for analytics, reporting, business intelligence or for other consumer data product use. Technical leadership for CRUK Data Engineering. Developing collaborations and relationships with other CRUK Data & Technology teams (e.g. Engineering, Architecture, Data Operations and Governance), departments and partners. Drive best practice and high-performance software delivery through DataOps principles to automate workflows, improve data quality, and accelerate delivery Establish observability frameworks (monitoring, logging, alerting) to ensure data pipeline health and performance in adherence to Data Product maturity acceptance criteria. Develop and maintain metadata for Data Products and data assets to enrich and enable a functioning Data Catalog to improve discoverability, governance, and metadata management for Data Product accessibility. Lead, mentor, and grow a team of data engineers, fostering a culture of engineering excellence, collaboration, agile practices and continuous improvement. Set clear technical direction, prioritise delivery, and coach team members. Grow AI skills and adoption within the team pivoting ways of working with agentic AI and skilling Data Engineers to work in the AI age. Promote best practices in software engineering (code reviews, testing, CI/CD, documentation) in line with DataOps principles and our aspirations for greater efficiencies through AI adoption. What skills will I need? Multiple years of experience in data / analytics engineering, with at least significant time spent in a leadership/management role. Hands-on expertise with: Snowflake (data warehousing, performance tuning, cost optimization, Horizon Catalog, Cortex). dbt (modular analytics engineering, transformations, testing). AWS Python proficiency as a data engineer and Orchestration tools (e.g. Airflow) Data and Dimensional modelling (star schema, Kimball/Inmon methodologies, OBT). AI - copilots, agentic AI, MCP Servers Strong understanding of DataOps, CI/CD, git, and data observability. Experience with data catalog/discovery tools Familiarity with data governance, security, and compliance (GDPR). Proven ability to lead, mentor, and nurture high-performing, inclusive engineering teams. Strong communication and stakeholder management skills with an ability to simplify and convey complex problems (technical concepts to non-technical audiences). Problem-solving mindset with a focus on scalability, reliability, and efficiency. Ability to balance technical depth with business impact. Our organisation values are designed to guide all that we do. Bold: Act with ambition, courage and determination Credible: Act with rigour and professionalism Human: Act to have a positive impact on people Together: Act inclusively and collaboratively We're looking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer. If you're interested in applying and excited about working with us but are unsure if you have the right skills and experience we'd still love to hear from you. Internal eligibility criteria Internal candidates should ideally have completed their 6-month 'getting started' period before applying for other roles. You should also advise your current line manager at the point you make an internal application, or at the latest, at the point of being invited for an interview. All internal candidates applying for a secondment, must have: Completed their getting started period Discussed their intention to apply and gained approval to apply with their line manager Been in their substantive (home) role for at least 6 months (this is only applicable if you have previously been on secondment) If you do not confirm that you meet these requirements, we will not be able to progress your application. For information about internal learning and development at Cancer Research UK please visit Fuse. What will I gain? We create a working environment that supports your wellbeing and provide a generous benefits package, a wide range of career and personal development opportunities and high-quality tools. Our policies and processes enable you to improve your work-life balance, take positive steps in your career and achieve your personal wellbeing goals. You can explore our benefits by visiting our careers web page. Additional Information For more information about working with us please visit our website or contact us at . For more updates on our work and careers, follow us on: LinkedIn, Facebook, Instagram, X and YouTube.

An impressive multinational firm is looking for an accomplished Azure Data Engineer to join its team. Please note the role is hybrid - you will work from the office 3 days per week with 2 from home.In this role, you will be responsible for designing, developing, and maintaining scalable data solutions that provide clean, structured, and accessible data to internal teams, stakeholders, and external partners. Working closely with developers, analysts, and business teams, you will help deliver cloud-based data platforms that support reporting, analytics, and data-driven innovation.In order to be suitable for this role you must be an accomplished Data Engineer with hands-on experience with Microsoft Fabric and Azure data services, including technologies such as Databricks, Data Factory, Azure SQL Managed Instances, and Data Lake solutions. You will have a proven track record of designing and optimising data warehouses and large-scale data platforms, supported by advanced SQL and reporting experience.The successful Data Engineer will design, build, and maintain a modern cloud-based data platform that supports analytics, reporting, and operational systems across the organisation. Working closely with Data Science, development, and business teams, you will develop scalable data pipelines, manage SQL Server databases across on-premises and Azure environments, and ensure data is secure, reliable, and accessible.You will play a key role in shaping the organisation's data architecture, identifying opportunities to improve data acquisition, automation, and performance, while helping to deliver a robust and scalable data ecosystem that supports future growth.This is an outstanding opportunity for a personable Data Engineer to join a market leading business that offers an excellent range of benefits.

Our client, a leading technology company, is currently seeking an AI Engineer - Enterprise Product AI to join their team. This is an exciting opportunity to embed AI into established enterprise products within the technology sector. Key Responsibilities: Embedding AI into enterprise SaaS products Collaborating closely with product and engineering teams Developing and deploying AI/ML features into live products Implementing anomaly detection or predictive analytics on structured operational data Managing MLOps including deployment pipelines, model monitoring, and retraining Designing REST APIs and integrating MCP patterns Contributing to a structured product roadmap Job Requirements: Experience in software engineering with a focus on AI Proven experience in production AI/ML feature development Understanding of anomaly detection or predictive analytics Proficiency in Python and TypeScript/JavaScript Experience with REST API design and MCP integration patterns Knowledge of MLOps practices Understanding of graph-based dependency or impact analysis (desirable) Experience with AI features in compliance or governance contexts (desirable) Familiarity with SAP BTP (desirable) Benefits: Challenging and rewarding permanent position Opportunity to work on established enterprise products Collaborative work environment with experienced teams Professional development opportunities Comprehensive employee benefits package If you are an experienced AI Engineer with a background in embedding AI into enterprise SaaS products and are looking for a new opportunity, we would love to hear from you. Apply now to join our client's innovative team.

Analytics Manager 95K - 105K London (Hybrid) At Data Idols, we are working with a fast-growing, technology-led digital business operating at significant scale across multiple international markets. They are now looking for an Analytics Manager to lead a team of five analysts and drive commercially impactful insight across a critical business area. The Opportunity This is a high-impact leadership role sitting at the intersection of analytics, commercial strategy and operational performance. You will lead a team of analysts responsible for delivering actionable insights that help stakeholders understand performance, identify opportunities for optimisation and make better data-driven decisions. As the Analytics Manager, you will own the analytics roadmap for a key business function, partnering closely with senior stakeholders across commercial, product and engineering teams. Whilst leading and developing the team, you will remain hands-on with analysis, working on complex business problems, shaping measurement approaches and supporting key strategic initiatives. Skills and Experience Advanced SQL skills Experience with data modelling Previous experience managing or leading analytics teams Ability to influence senior stakeholders and strategic decision-making through data and insight Strong stakeholder management and communication skills If you are looking for an opportunity to lead a high-performing analytics team while staying close to the data and driving meaningful business impact, please submit your CV for initial screening and further details. Analytics Manager