66 jobs found

Senior Automation Engineer Location: Outskirts of Edinburgh (flexible work pattern and compressed week) Contract: 12 Month FTC Hours: 37 hours per week Overview We are working with a leading advanced manufacturing and defence organisation seeking a Senior Automation Engineer to deliver innovative automation solutions across complex production environments. This role offers the opportunity to lead end-to-end automation projects, driving improvements in efficiency, quality, and safety within highly regulated industries. The Role You will be responsible for the design, development, and implementation of automated manufacturing systems, supporting projects from concept through to commissioning. Key Responsibilities Design and develop automated systems including PLCs, robotics, and SCADA Lead full lifecycle automation projects to improve cycle time, cost, and safety Program and optimise PLCs (Siemens, Allen Bradley), robots (Fanuc, ABB, Kuka), and HMI/SCADA systems Commission robotic cells and assembly systems, ensuring compliance with industry standards (e.g. ISO 9001 / AS9100) Integrate shop-floor systems with MES and ERP platforms Develop automated workflows and manufacturing recipes (ISA-88 / ISA-95) Support data-driven manufacturing through KPI dashboards and reporting Conduct root cause analysis and drive continuous improvement Skills & Experience Degree in Engineering (Mechanical, Electrical, Controls or similar) Proven experience in industrial automation within manufacturing environments Strong knowledge of PLC programming (Siemens S7 / TIA Portal preferred) and robotics Experience integrating MES (e.g. Syncade, Opcenter) and ERP systems Familiarity with industrial communication protocols (e.g. OPC UA, Ethernet/IP) Experience working in regulated industries such as Life Sciences, Aerospace & Defence, or FMCG Desirable Programming/scripting skills (Python, Java, C++, PowerShell or Bash) Experience with SQL, XML, or database systems Exposure to Infrastructure as Code or modern automation tooling

Data Engineer (SQL Server / SSIS) 3 Month Initial Contract Remote / Cardiff VIQU have partnered with an NHS organisation to recruit a hands-on Data Engineer to support critical data integration and ETL workloads across a Microsoft-based environment. This Data Engineer role is focused on stabilising, improving and enhancing existing data pipelines, alongside supporting ongoing modernisation and cloud migration activities. The Role The successful Data Engineer will play a key role in ensuring the reliability and performance of existing ETL processes, working across a hybrid on-premise and Azure-based data platform. Key responsibilities include: Testing, troubleshooting and supporting existing ETL and data ingestion processes Investigating and resolving data issues, failures and performance bottlenecks Enhancing and optimising existing SSIS packages and SQL-based integrations Developing new ingestion pipelines and transformation logic where required Performing data validation, reconciliation and quality assurance activities Supporting wider data platform modernisation and Azure migration initiatives Collaborating with analytics and reporting teams to ensure downstream data reliability Key Skills & Experience Strong hands-on experience with SQL Server (on-premise) and SSIS Advanced T-SQL development and debugging skills Proven experience working on ETL pipelines, particularly testing and troubleshooting Experience enhancing existing integrations rather than just building from scratch Strong experience with data validation, reconciliation and quality assurance Experience using Python for ETL, automation or data processing Familiarity with Azure SQL or cloud-based data platforms Ability to work independently in an operational, delivery-focused environment Desirable: Experience with Microsoft Fabric, Dataverse or Power Platform NHS or regulated data environment experience Contract Overview Role: Data Engineer (SQL Server / SSIS) Length: 3 months initially (likely extension) IR35: Inside IR35 Rate: £325 per day Location: Remote / Cardiff Apply now to speak with VIQU IT in confidence. Or reach out to Suzie Stone via the VIQU IT website. Do you know someone great? We ll thank you with up to £1,000 if your referral is successful (terms apply). For more exciting roles and opportunities like this, please follow us on IT Recruitment.

We are seeking a Business Intelligence Analyst to deliver data-driven insights, dashboards, and reporting solutions that support operational performance and business decision-making. You will work closely with stakeholders across the business to understand requirements, analyse complex data, and develop reliable, high-quality BI solutions. Key Responsibilities Develop dashboards, reports, and analytical solutions using BI tools such as Power BI and SQL. Work with stakeholders to gather requirements and provide actionable insights. Analyse operational data to identify trends, efficiencies, and improvement opportunities. Maintain data accuracy, quality, and documentation including KPI definitions and data dictionaries. Automate and improve manual reporting processes. Collaborate with Data Engineering and IT teams on reporting and data solutions. Support continuous improvement and adoption of new BI technologies. Essential Skills & Experience Degree in Computer Science, Data Analytic, Statistics, or equivalent experience. Strong SQL and data analysis skills. Experience creating dashboards and reports using Power BI or similar BI platforms. Understanding of data quality, validation, and reporting best practices. Strong communication and stakeholder management skills. Desirable Experience with Microsoft Fabric, DAX, Power Query, SQL Server, or Oracle SQL. Knowledge of ETL processes, data warehousing, and automation tools. Experience with Python, R, Pandas, or similar analytical tools. Familiarity with version control and CI/CD practices. Benefits 24 days annual leave Generous pension contribution and life cover Private healthcare Company mobile discounts Discretionary bonus

DevOps Engineer Guildford offices (Next to train station) and competitive salary depending on experience Stratospherec are working with a Guildford based Enterprise Management software company who have thousands of clients across the UK and Europe. This Mid-Level DevOps Engineer role is a new position in their growing DevOps team of engineers and this role is integral to the continued success of the TechOps team as a central function that underpins the effective development and running of the software as a service that this company supplies to their customers. We are looking for candidates with 2 years or more commercial DevOps Engineering experience ideally in an Linux, MySQl, Java (or GO / Node / Ruby / Python) software application environment and with Python, Java, GO or Bash Scripting experience. DevOps Engineer - Role Responsibilities: CI/CD Pipeline Management Automation: writing automation scripts Infrastructure as Code (IaC): Provisioning infrastructure using tools like Ansible. System Reliability & Monitoring Security & Compliance: Integrating security (DevSecOps) into the DevOps lifecycle. Deploying and managing applications. Operations & Monitoring: Monitor system performance, uptime, and security. You will need at least 2 years commercial experience in a pervious role. Skills Required: Scripting skills - Ideally Python, Bash, GO or similar Monitoring with tools like Grafana preferred, DataDog or Prometheus Database knowledge - MariaDB or MySQL or PostGreSQL Linux knowledge - Ubuntu, Debian or Centos Experience working within an agile environment Knowledge of version control tools - GIT ideally Provisioning servers and knowledge of containerisation with Kubernetes or similar Package offered: Base Salary: Competitive salary. Based in their hi-tech Guildford offices. 28 days Annual Leave (plus Bank Holidays) 40 hours/week including 1 hour for lunch (all in office) Pension scheme Excellent employee benefits scheme If this is job opportunity might be of interest then please apply for immediate interview.

COMPANY DESCRIPTION, PROFILE AND SCOPE OF ROLE: This is a fantastic opportunity for an experienced Electronics Test Engineer to join an established, global leader in specialist engineering. Based primarily at a facility in County Durham, you will be working on behalf of our client to provide dedicated technical expertise and drive innovation in automated test development. You will report directly to the Senior Electronics Test Engineer and play a pivotal role in the design, development, and validation of custom automated test equipment (ATE). This is an autonomous, on-site position that requires a confident practitioner capable of managing the full test lifecycle while collaborating with wider engineering, NPI, and quality teams. This role offers a culture of trust and accountability, perfect for a professional who thrives on independence, creative problem-solving, and taking ownership of their work. KEY DUTIES & RESPONSIBILITIES: Lead the design, development, and validation of custom automated test equipment (ATE) and bespoke fixtures. Create and optimize test sequences using LabVIEW and Python to enhance automated data capture and analysis. Contribute to the New Product Introduction process through test specification design, PFMEA activities, and failure analysis. Provide expert fault-finding support for both complex electronic products and internal diagnostic rigs. Maintain accurate technical documentation, manage firmware version control, and produce detailed test reports for stakeholders. Deliver technical guidance and training to the technician team to ensure continuous improvement in production testing. QUALIFICATIONS, EXPERIENCE, SKILLS AND ATTRIBUTES: ESSENTIAL Degree in Electrical and Electronic Engineering (BEng) or a relevant discipline. Proven background in a Test Engineering role specifically within a manufacturing or production environment. Strong proficiency in LabVIEW for instrument control and system automation. Competency in Python for automating test routines, data processing, or system interfacing. Experience in database-driven data acquisition (SQL) and a structured approach to hardware troubleshooting. A proactive problem-solver who communicates clearly and can manage multiple priorities in a fast-paced environment. DESIRABLE Proficiency in text-based languages such as Python, C#, or C++. Familiarity with modern automation trends, including the use of LLMs or advanced software tools to accelerate application development. Experience with firmware programming and version control protocols. Knowledge of APQP/SPQP frameworks and reliability engineering principles.

Senior Software Engineer (.NET / C#) Greenfield Systems Rebuild Remote (UK) 80,000- 100,000 This is a hands-on senior engineering role with real technical authority. You will be the lead engineer and technical decision-maker on a greenfield rebuild of a mission-critical system, working within a small, senior team and reporting directly to the Head of Technology. Once the build is delivered, the role expands into enterprise architecture responsibilities. If you are a strong .NET engineer who has been moving into architecture and wants to own the outcome rather than advise on it, this is worth reading. You will be Lead the technical delivery of a greenfield rebuild of a core business system, covering policy, claims and integration layers. Set and enforce technical standards, own code quality, and conduct structured code reviews across the delivery team. Work directly with the BA to translate business requirements into sound technical design and produce low-level design documentation. Make architecture decisions, present options clearly to non-technical stakeholders, and govern integration standards across the programme. Support the Infrastructure and Data Engineers with cross-cutting technical decisions throughout the build. Post go-live: take on broader enterprise architecture responsibilities including architecture governance, technology strategy and platform evolution planning. WHAT WE'RE LOOKING FOR Must-have 5+ years in senior software engineering or technical lead roles, with strong hands-on .NET / C# delivery. Demonstrable experience leading architecture decisions on production-grade systems, not just contributing to them. REST API design and integration experience at scale, including defining and governing integration standards. Microsoft SQL Server: schema design, query optimisation, and working knowledge of Always On configuration. Azure infrastructure: practical experience with Azure VM, SQL on Azure and Availability Groups. Experience mentoring or managing more junior engineers within a delivery team. Comfortable producing and presenting design documentation to both technical and non-technical audiences. Nice-to-have Prior experience in insurance, financial services or another regulated industry. Familiarity with claims management systems, policy administration platforms or related workflows. Python for automation, tooling or data engineering support. Experience stepping into or transitioning from an enterprise architect or solutions architect position. Active use of AI coding tools and a willingness to embed them into day-to-day engineering practice. WHAT'S ON OFFER 80,000- 100,000 depending on experience. Fully remote role with occasional travel to London when needed. 28 days holiday plus bank holidays. Private Medical Insurance for you and your family. Pension with contributions matched up to 6%. Life assurance. Direct access to programme leadership, a senior multi-disciplinary team, and a clear path into enterprise architecture post-delivery. Application If this looks like the right next move, apply now or reach out directly for a conversation before committing to a full application. We are happy to talk through the detail first.

We are seeking a Data Services Engineer to join a Capability Engineering team delivering data platforms and pipelines that underpin operational and analytical services supporting Royal Navy Maritime Domain Awareness outputs. This is a hands-on engineering role focused on building reliable, scalable and secure data solutions. You will work across the full data lifecycle, from ingestion through to delivery, ensuring data is accessible, trusted and usable. What You Will Do Build and maintain scalable data pipelines (ETL/ELT) across multiple systems. Integrate data from diverse sources including databases, APIs and enterprise systems. Ensure data quality, integrity and availability across platforms. Monitor and optimise data pipelines for performance and reliability. Troubleshoot and resolve complex data and platform issues. Contribute to automation and CI/CD of data services. Collaborate with stakeholders to understand and deliver data requirements. Producing technical documentation, runbooks and operational artefacts. What We Are Looking For Essential Experience building and maintaining data pipelines. Strong Python and SQL skills. Experience working with structured data and databases. Understanding of data modelling and transformation techniques. Experience with Linux environments. Strong problem-solving and analytical skills. Ability to work independently within defined standards. Desirable Experience with orchestration tools or data platforms. Exposure to DevOps practices and automation. Experience in secure or regulated environments. Familiarity with service management tools (e.g. Jira, Confluence). Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Full Stack Software Engineer (Data-Focused) Location: London - Hybrid - 1-2 days per week Salary: (Apply online only)k + Bonus Type: Permanent Sponsorship: Not Available Role Overview: We are seeking a Senior or Staff-Level Fullstack Software Engineer with a strong background in data to join our Data Science & Engineering team.This is a greenfield initiative that seeks to consolidate several lines of business under a single modern architecture. In this role, you will empower the business with the technology and tools needed to leverage data throughout the organization. This Includes: Deploying open-source BI tools and platforms Setting up streaming data collection and validation services Implementing third-party analytic solutions Assisting with data-centric migration tasks Key Responsibilities: Partner with Data Engineers to deploy and maintain internal data tools and platforms Implement and maintain integrations with third-party data platforms and APIs Work with DevOps and Platform Engineers to support: Infrastructure as Code using Terraform Containerisation and deployment via Kubernetes (AKS) CI/CD automation via ArgoCD Monitoring via OTLP and Sumo Logic Contribute to architectural decisions, with a strong emphasis on data security Assist migration and data engineering teams in moving legacy products to a new technology stack Support documentation, testing, and ongoing maintenance of production systems Required Qualifications: 7+ years of experience in software engineering roles, with a track record of building solutions end-to-end Experience deploying applications in cloud environments, preferably Microsoft Azure Strong experience in REST API design and OpenAPI standards Extensive experience working with databases, data platforms, and analytical tools Ability to research, propose, and implement solutions with minimal supervision Experience building internal-facing CRUD applications Familiarity with front-end development and ability to make basic modifications to open-source UI components Experience enabling data scientists and engineers with Python-based development workflows and tooling Technology Stack: Azure Cloud Services C# (.NET 10) Python React.js and modern JavaScript (ES6+) Snowflake (Data Warehouse) Apache Airflow Terraform dbt SQL Server

Masentó are looking for an Integration Engineer with strong Fivetran and Snowflake experience to support a major data integration modernisation programme at a leading global retailer. The organisation is migrating away from Mulesoft and transitioning to a modern integration stack centred on Fivetran and Snowflake. You will play a key role in designing, building, and migrating data integrations, ensuring a reliable and scalable pipeline architecture across the business. This is a hands-on contract role for someone who knows the modern data stack well and can hit the ground running in a fast-moving programme environment. Key Responsibilities Design and build data integration pipelines using Fivetran, connecting source systems to Snowflake Support and lead the migration of existing Mulesoft integrations to the Fivetran-based architecture Configure and manage Fivetran connectors across a range of source systems (SaaS, databases, APIs) Work closely with the data engineering team to ensure clean, reliable data landing in Snowflake Apply dbt for transformation of ingested data within the Snowflake environment Monitor, troubleshoot, and optimise integration pipelines for performance and reliability Document integration architecture and maintain data lineage across the pipeline estate Collaborate with data, engineering, and business stakeholders across the programme Required Skills & Experience Hands-on Fivetran experience: connector configuration, pipeline management, and troubleshooting Strong Snowflake experience: understanding of how data lands, is structured, and is consumed Experience with dbt for data transformation within a Snowflake environment Understanding of modern ELT architecture and data pipeline design principles Azure data stack familiarity: ADLS Gen2, Azure Data Factory, or Synapse Experience migrating or replacing Legacy integration platforms (Mulesoft, Informatica, SSIS, or similar) Strong SQL skills Ability to work across technical and business stakeholders in a programme environment Python Scripting for automation or custom connector development Nice to Have Direct Mulesoft experience: understanding the existing landscape being replaced is a significant advantage Experience with Census or similar reverse ETL tooling Familiarity with event-driven integration patterns (Kafka, Azure Event Hubs) Retail or E-commerce domain experience If this matches your experience, please apply today for further information.

We are looking for an Infrastructure Software Engineer to help keep our clients' systems reliable, secure, and scalable. This is a hands-on role working across a broad stack - from Linux servers and networking to containers and big data platforms - with a strong focus on automation and problem-solving. The successful candidate must have strong on-prem experience and will ideally have a good mix of infrastructure and programming knowledge. This is a hybrid role with the expectation to be in the office 2 days a week. As well a competitive salary, out client offers a comprehensive benefits package which includes a bonus scheme. Key Responsibilities Automate and optimise DevOps workflows Monitor system health and respond to incidents Troubleshoot infrastructure issues and perform root cause analysis Identify and remediate security vulnerabilities Support developers with deployments and improve developer experience Maintain documentation (runbooks, processes, architecture) Skills Experience with Linux systems administration Shell scripting and strong coding ability Problem-solving through automation Ability to prioritise and work independently Strong communication and teamwork skills Desirable Knowledge of networking (TCP/IP) and full-stack infrastructure Experience with Git, Python, and Ansible Familiarity with containers (Docker, Kubernetes, LXC) Experience with monitoring tools and SQL databases Exposure to big data systems (e.g., Spark, HDFS, Airflow) Summary A great opportunity for someone who enjoys solving complex infrastructure challenges, automating systems, and working closely with engineering teams. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Lead Data Platform Specialist - Up to 85k + c.15% Bonus Fully Remote - Condensed & flexible hours available (4 day working week available - 9 out of 10, etc.) My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform. You need to have strong experience working with Databricks You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus. Key Responsibilities: Build and maintain the Data Lakehouse platform in a secure Azure environment Develop automation for cluster management, integration runtimes, and networking Lead architectural design and ensure platform scalability, reliability, and governance Write efficient, maintainable code in PySpark, Python, and SQL Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM Collaborate with data engineers, architects, and business stakeholders Mentor and coach engineers, fostering a culture of learning and excellence Essential Skills: Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture Strong solution architecture and data platform engineering skills DevOps and automation expertise, including CI/CD, monitoring, and code quality Infrastructure-as-code (Terraform or ARM templates) for cloud resource provisioning Excellent communication and mentoring skills It's not often a role comes along in a team like this, where you get the chance to flex or condense hours, receive a strong salary with a bonus, potential for growth, independence and autonomy, and a clear pathway of progression. You'll get Private medical options, 25 days holiday, plus bank holiday, and the chance to buy/sell holiday. This is a rare opportunity to join a forward-thinking team at a leading organisation, working fully remotely with flexibility and excellent benefits. You'll be shaping the future of their data platform while collaborating with a talented and diverse team. To apply, please submit your CV as we are looking to move quickly on this role. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

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. Are you passionate about data and eager to make a difference in the utilities industry? Our client is searching for a talented Data Engineer to join their dynamic team! If you thrive in a collaborative environment and are ready to contribute to cutting-edge data solutions, we want to hear from you! Role: Data Engineer Duration: 6 Months (multiple extension options) Location: Remote (must be prepared to travel to Bristol 1 - 2 days a month) Rate: 650 pd (umbrella) About the Role: As a Data Engineer, you will report directly to the Lead Data Engineer and play a pivotal role in designing and maintaining scalable data pipelines. Your expertise will ensure data availability, quality, and performance, supporting key analytics and operational decision-making. This is an exciting opportunity to drive innovation and foster a culture of agility within the organization. Key Accountabilities: Design & Develop: Build scalable, secure, and efficient data pipelines, ensuring that data is accessible and of the highest quality. Roadmap Contribution: Help shape the data engineering roadmap, aligning solutions with business priorities and technical strategies. Workflow Optimization: Leverage automation and best practices to enhance performance and cost efficiency. Collaboration: Work closely with Data Science, Insight, and Governance teams to enable data-driven decision-making across the organization. Governance & Compliance: Implement data governance and security standards, ensuring adherence to regulatory requirements. Continuous Improvement: Identify risks and ensure ongoing enhancement of data engineering processes. Lifecycle Management: Monitor the data pipeline lifecycle from design to post-deployment performance analysis. Vendor Engagement : Collaborate with third-party vendors to ensure alignment with project requirements and timelines. Emerging Technologies: Stay updated on industry trends to continuously enhance data engineering capabilities. Documentation: Maintain clear technical processes to ensure knowledge sharing within the team. What We're Looking For: Experience with MongoDB: Essential for this role! Technical Proficiency: Strong skills in SQL, Python, and familiarity with tools like Apache Spark, Kafka, and Airflow. Cloud Knowledge: Experience with AWS, Azure, or GCP is a plus. Data Understanding: Strong grasp of data modeling, schema design, and data warehousing concepts. Compliance Awareness: Knowledge of data governance and privacy frameworks (e.g., GDPR, ISO27001). Agile Advocate: Understanding of Agile methodologies and DevOps practices. Qualifications: Relevant bachelor's or master's degree or technology certifications are essential. Why Join Us? This is more than just a job; it's an opportunity to impact the future of data engineering in the utilities sector. You will be part of a team that values collaboration, innovation, and continuous improvement. If you are ready to take on this challenge and contribute to a culture of agility, we encourage you to apply! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your resume and a cover letter highlighting your relevant experience. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Senior AI Engineer Location: UK Remote (UK-based candidates only) Salary: 60,000 - 70,000 Employment Type: Full-Time Please note: Sponsorship is not available for this position. Overview A growing organisation is looking for a Senior AI Engineer to help design, build, and scale production-grade AI systems and data platforms used across enterprise environments. This is an opportunity to join a collaborative engineering function focused on building robust AI pipelines, transformation APIs, and scalable backend services that support advanced analytics and machine learning products. The Role As a Senior AI Engineer, you will work closely with Data Scientists and cross-functional technical teams to productionise machine learning models and develop high-performance AI services. You'll contribute across the full engineering lifecycle-from system design and integration through to deployment, monitoring, and optimisation within cloud-native environments. Key Responsibilities Design and maintain scalable AI pipelines and processing workflows Develop and optimise RESTful APIs and microservices for AI services Build cloud-native backend systems aligned with best engineering practices Collaborate with Data Scientists to productionise ML models Improve system performance, observability, reliability, and security Contribute to CI/CD pipelines, automated testing, and infrastructure automation Support integration and interoperability across enterprise platforms Translate technical requirements into scalable, maintainable solutions Required Skills & Experience Strong experience in backend, data, or ML engineering Advanced Python skills and experience with FastAPI, Flask, or Django Experience building scalable APIs and microservices Strong SQL and relational database knowledge (PostgreSQL preferred) Experience with AWS and/or Azure cloud environments Understanding of distributed systems and scalable architectures Exposure to machine learning, NLP, or AI-driven systems Experience with CI/CD pipelines, testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge AI and machine learning systems Collaborative engineering environment Exposure to modern cloud and AI technologies Strong career growth opportunities within a growing AI function

Job Title: QA Engineer Location: Remote, Quarterly Planning in Bristol Mandatory. Remuneration: Up to 550 per day Contract Details: Fixed Term Contract (6 months) Responsibilities: Lead the charge on all QA activities, ensuring functional and non-functional testing meets the highest standards. Take ownership of your assigned QA tasks, driving excellence in automated and non-functional testing including performance, security, accessibility, and usability. Design, build, and maintain robust test automation frameworks with clean, reliable code. Collaborate with junior QA Engineers and manual testers, guiding them in modern testing practices and engineering principles. Ensure consistent governance, design, and code quality in line with software standards and technology strategy. Create detailed test scenarios and cases, analyzing non-functional specifications for performance, accessibility, and security testing. Maintain traceability from test cases back to requirements, producing automation scripts and regression test packs. Work with stakeholders to ensure all test data is prepared and available before execution. Analyze test results and provide insightful reports on progress, anomalies, and risks. Record defects comprehensively, capturing all necessary details for effective tracking. Investigate and support the resolution of issues related to applications under test. Uphold quality at every project phase and escalate any concerns promptly. Actively participate in Agile ceremonies to address blockers and issues. Undertake additional tasks as assigned by the Head of QA Engineering. Technical Skills: Essential: Strong programming experience in Java and/or Python with a focus on maintainable automation solutions. Hands-on expertise in modern automation frameworks like Selenium or Playwright. Experience in accessibility testing and ensuring inclusive digital experiences. Skilled in performance testing using tools like JMeter or k6. Proficient in Behaviour Driven Development (BDD) and its application in delivery teams. Solid experience in API testing with tools such as REST assured, Postman, or SOAP UI. Knowledgeable in non-functional requirements and translating them into effective test strategies. Familiarity with CI/CD pipelines and build management tools. Understanding of Test Driven Development (TDD) principles. Experience in security testing and risks in enterprise systems. Exposure to cloud platforms like AWS or Azure. Active contributor in Agile teams with a dynamic approach. Proficient with tools like Maven, IntelliJ/Eclipse, and SonarQube. Desired: Familiar with unit testing frameworks such as JUnit or TestNG. Experience in TestRail, JavaScript, TypeScript, SQL, and knowledge of Cypress. Join our client in making a difference in the QA landscape! If you have a passion for quality and a knack for problem-solving, we want to hear from you! Apply today and help us build robust, scalable systems that users can trust! 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. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention. Due to the high volume of applications we receive, we are unable to respond to everyone individually. If you do not hear from us within 48 hours of applying, please assume that your application has been unsuccessful on this occasion.

DevOps Engineer Contract (Outside IR35) £500 £600 per day Fully Remote Founded in 2019 by engineers solving complex cross-domain challenges within government organisations, TwinStream was built on a passion for technical excellence and delivering high-quality solutions. Today, we re a growing team of over 100 specialists across the UK, working remotely, hybrid and on client sites to deliver secure, scalable and innovative systems for our customers. We re now looking for experienced DevOps Engineers to join a new team supporting the deployment and ongoing operation of a sophisticated cross-domain platform. The DevOps Engineer Role You ll play a key role in deploying, maintaining and improving a highly available event-driven microservices platform built around Docker container services and AMQP messaging. Working closely with feature delivery teams, you ll help drive reliable production releases, maintain CI/CD pipelines, improve observability and ensure systems continue to meet demanding SLA/SLO targets. This is an excellent opportunity for a seasoned engineer who enjoys solving complex operational challenges, automating infrastructure and working with modern DevOps tooling in a managed service environment. What You ll Be Doing Collaborating with development teams to promote releases into production efficiently and safely Maintaining highly available services using real-time monitoring and system metrics Building and improving monitoring, alerting and observability capabilities Investigating alerts and incidents, implementing preventative and remedial actions Working with customer stakeholders to coordinate releases and evolving service requirements Driving automation to reduce manual operational overhead Supporting continuous improvement across infrastructure, deployment and operational processes Skills & Experience Infrastructure automation tools such as Terraform, CloudFormation or Ansible Docker containers and orchestration platforms including Kubernetes, OpenShift or Docker Swarm CI/CD tooling such as Jenkins or GitHub Actions Linux administration, shell scripting and command-line tooling AWS environments and cloud infrastructure Monitoring and observability tools including Prometheus, Grafana or InfluxDB SQL and relational databases Performance tuning, troubleshooting, scaling and disaster recovery Network security principles and protocols Desirable Experience Any of the following would be beneficial: Managed service environments AWS services including EC2, RDS, S3 and Lambda RabbitMQ or other AMQP/event-driven messaging platforms Cross-domain technologies and principles Software development experience in Java, Go, Python or similar languages Additional Information Due to the nature of the work and client environments, any offer will be subject to successful completion of security screening and clearance requirements. What s Next? Apply for this exciting new DevOps Engineer opportunity today for immediate consideration.

Process Automation & Digitalization Specialist Location: Manchester Rate: 30 (An hour) Duration: 12 Months Initially Location: Manchester IR35: Inside (Must use an umbrella company) Key Responsibilities Process Automation: Identify, design, and implement automation solutions (workflow automation, automated reporting, data validation, milestone monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team Digitalization: Support the digital transformation roadmap by building prototypes, proof-of-concepts, dashboards, Power Apps, and scalable digital solutions Integration: Connect automation solutions with existing systems (SAP S/4HANA, planning tools, reporting platforms, SharePoint, Microsoft Power Platform, and visibility tools) Documentation & Knowledge Transfer: Create technical documentation, process guides, and user training materials to ensure sustainability beyond the contract period Stakeholder Collaboration: Work with Supply Operations team (Logistics & Order Management Europe (ELOM), Planning & Customs), operations leads, and IT to understand pain points and translate them into practical technical solutions Continuous Improvement: Proactively identify opportunities for simplification, standardization, and efficiency improvements across operational and reporting processes Required Skills & Experience: Degree in Computer Science, Engineering, Data Science, Supply Chain Analytics, or related technical discipline Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) Experience with data manipulation and visualization (SQL, Power BI, Databricks, Excel automation, or equivalent) Familiarity with ERP systems (SAP S/4HANA preferred) Experience working with APIs, system integrations, and structured/unstructured data sources Ability to work independently, manage multiple workstreams, and deliver within tight timescales Strong communication skills with the ability to translate technical concepts into business-friendly language for non-technical stakeholders Desirable: Experience in supply chain, logistics, or manufacturing environments Familiarity with SAP S/4HANA, APO, OTM, or logistics visibility platforms Experience with API integrations and cloud platforms (Azure preferred) Exposure to Agile or iterative delivery methods Knowledge of Microsoft Power Platform ecosystem (Power BI, Power Apps, Power Automate) Experience supporting digital transformation or automation initiatives in operational environments

Data Engineer Chippenham 5 days onsite We re working with a forward-thinking, data-driven organisation looking to hire a Data Engineer to join their growing technology team. This is a fantastic opportunity for someone with a few years of experience who wants to deepen their expertise and progress into Microsoft Fabric, working on modern data platforms and scalable integration solutions. What You ll Be Doing You ll play a key role in designing, building, and supporting robust data pipelines and system integrations that power business-critical analytics and operations. Key areas include: Building and maintaining ETL/ELT pipelines for structured, reliable data Developing integrations using REST APIs across multiple platforms Designing automated workflows to reduce manual processes Working with Microsoft Fabric to ingest, transform, and publish datasets Supporting and improving existing data solutions (BAU + project work) Ensuring data quality, validation, and error handling Collaborating with stakeholders to deliver scalable, future-proof solutions Tech Stack & Experience We re looking for someone comfortable working across a modern Microsoft data ecosystem: SQL Server (T-SQL, stored procedures, performance tuning) Microsoft Fabric (Dataflows, Power Query, Data Warehouse) or a strong desire to grow into it Azure (Logic Apps, Function Apps) APIs & data formats (JSON, XML, CSV) Scripting / programming: Python, T-SQL, VBScript (bonus: PowerShell, Node.js, DAX) Understanding of automation, scheduling, and orchestration Exposure to SAP Business One is a plus Why This Role? Clear opportunity to build hands-on experience with Microsoft Fabric Work on modernising data architecture and integration patterns Blend of project delivery + real-world operational impact Influence automation and efficiency across the business Supportive environment with scope to learn, grow, and take ownership Who This Suits An early-career to mid-level data/integration engineer Someone who enjoys problem-solving and improving systems A professional looking to step into next-gen data platforms (Fabric) A strong communicator who can bridge technical and business teams If you're interested in taking the next step in your data engineering career and want to build expertise in Microsoft Fabric , apply now or get in touch to learn more.

About Scrumconnect Consulting Scrumconnect Consulting is a leading digital transformation consultancy delivering innovative solutions across the UK public sector. We specialise in Agile delivery, digital services, cloud transformation, data, and user-centred design, helping organisations build scalable and impactful digital products and platforms. We are currently seeking an experienced Senior Data Analyst to support the design and development of reporting dashboards and analytics for CAF and risk reporting tools within a major digital transformation programme. Job Summary We are looking for a highly skilled Technical Lead with strong expertise in Python, Django, and modern web application architecture. The ideal candidate will be responsible for leading development teams, designing scalable Back End systems, and driving end-to-end technical delivery for enterprise-grade applications. The candidate should have hands-on experience with GOV.UK Frontend, authentication and authorization frameworks such as OIDC/OAuth, containerization technologies, and relational databases like PostgreSQL. Key Responsibilities Lead the design, development, and deployment of scalable web applications using Python and Django. Provide technical leadership and mentorship to development teams. Architect secure and high-performing Back End systems and APIs. Implement authentication and authorization mechanisms using OIDC/OAuth. Develop and maintain responsive user interfaces using GOV.UK Frontend standards and components. Collaborate with cross-functional teams including Product, DevOps, QA, and Architecture teams. Ensure code quality through reviews, best practices, and automated testing. Design and optimize PostgreSQL database schemas and queries. Manage containerized deployments using Docker. Participate in solution design, estimation, and technical planning activities. Drive CI/CD adoption and engineering best practices. Required Skills Strong experience in Python and Django framework. Hands-on experience with GOV.UK Frontend framework and accessibility standards. Strong understanding of OIDC and OAuth 2.0 authentication mechanisms. Experience with RESTful API development and microservices architecture. Proficiency in Docker and containerized application deployment. Strong knowledge of PostgreSQL database design and optimization. Experience with Git, CI/CD pipelines, and Agile development methodologies. Good understanding of application security and performance optimization. Excellent troubleshooting and problem-solving skills. Preferred Qualifications Experience working in government/public sector digital transformation projects. Exposure to cloud platforms such as AWS, Azure, or GCP. Familiarity with Kubernetes and infrastructure automation tools. Experience with Front End technologies such as HTML, CSS, JavaScript, and React (preferred). Strong communication and stakeholder management skills. Education Bachelor's or Master's degree in Computer Science, Information Technology, or related field. Why Join Us? Opportunity to work on impactful digital transformation programs. Collaborative and technology-driven work culture. Exposure to modern engineering practices and cloud-native technologies. Competitive compensation and growth opportunities. Diversity & Inclusion At Scrumconnect Consulting, we are committed to building an inclusive workplace where diversity is valued and everyone is empowered to succeed. We welcome applications from candidates of all backgrounds, experiences, and perspectives, and we are dedicated to fostering a culture of equality, respect, and collaboration.