158 Python jobs

An excellent opportunity for a Quantitative Analyst to join a highly talented and technically focused team based in central London. The successful candidate will be responsible for interpreting, analysing and manipulating large and complex datasets, developing quantitative models and using statistical techniques to identify trends, patterns and opportunities. Working closely with analysts, developers and other technical specialists, you will have the opportunity to contribute to the development of analytical models and data-driven solutions within a fast-paced environment. We are looking for a highly analytical and forward-thinking individual who is comfortable working independently while also collaborating effectively as part of a team. Key Responsibilities Analyse and interpret large, complex datasets to identify trends and insights. Develop and enhance quantitative, mathematical and statistical models. Apply probability and statistical techniques to real-world problems. Develop, test and validate analytical models and methodologies. Use programming languages to analyse data and develop quantitative solutions. Work closely with developers to implement analytical models and solutions. Back-test models against historical data and assess their performance. Identify opportunities to improve existing models, processes and analytical techniques. Communicate complex analytical findings clearly to technical and non-technical stakeholders. Skills & Experience PhD or MSc in Mathematics, Statistics, Physics, Computer Science, Data Science, or another highly quantitative discipline. Strong understanding of probability, statistics and mathematical modelling . Experience working with large datasets and performing detailed data analysis. Proficiency in one or more of Python, C#, C++ or Java . Experience within data science, quantitative analysis or statistical modelling . Strong analytical and problem-solving abilities. Excellent attention to detail and numerical accuracy. Strong communication skills and the ability to work effectively within a team. A proactive and inquisitive approach to solving complex problems. Desirable Experience developing predictive or statistical models. Knowledge of machine learning or advanced statistical techniques. Experience with time-series analysis, regression or optimisation. Experience working with real-time or high-volume datasets. A genuine interest in data-driven decision making and quantitative analysis. This is an office-based role in central London , offering a competitive salary and the opportunity to work within an excellent technical environment alongside highly skilled analysts and developers. If you feel you have the skills and experience required for this opportunity, please contact Oliver Wilson at (url removed) Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

We're looking for a Senior Software Engineer to join a growing AI team and take ownership of the application and integration layer behind a new generation of AI-powered products. This is a genuinely full-stack engineering role, combining production-grade backend development, API design, AI integrations and frontend engineering. You'll work across the full application lifecycle, designing the services and interfaces that connect AI capabilities to the products customers and colleagues use every day. You'll play a key role in building MCP integrations, agent-to-agent connectivity and robust API services, while also developing responsive, accessible interfaces in React and TypeScript. What you'll be doing Own the application and integration layer of AI products end to end, covering APIs, integrations, service boundaries and frontend development. Design, build and maintain MCP servers that safely expose systems, content and tooling to AI agents. Develop agent-to-agent connectivity, including message contracts, state management, retries and failure handling. Design clear, scalable APIs using REST and/or GraphQL, including authentication, authorisation, versioning and streaming interfaces such as SSE or WebSockets. Build production frontend applications using React, TypeScript and JavaScript. Work closely with UX and product teams to turn designs into accessible, responsive and intuitive interfaces. Develop AI-specific user experiences including streaming responses, citations, source information, agent/tool progress and graceful error handling. Integrate with internal platforms and third-party services, considering security, scalability, performance and reliability. Establish automated testing across backend and frontend applications, including unit, contract and end-to-end testing. Work with the platform engineering team on deployment, observability, logging, tracing and operational readiness. Act as the technical owner for the application and integration layer, making and documenting key architectural decisions. Provide technical guidance, code reviews and mentoring to other engineers. You should have: Strong commercial experience with Python for backend and integration development. Strong TypeScript/JavaScript and React experience building production applications. Strong API design experience, including REST and/or GraphQL, authentication, authorisation, versioning and streaming. Hands-on experience with MCP (Model Context Protocol) or comparable tool/plugin integration technologies, alongside an interest in AI agents and agent-to-agent connectivity. Solid experience with AWS, ideally including services such as Lambda, ECS, API Gateway, S3, CloudFront, Cognito and IAM. Experience designing and operating distributed or event-driven systems. A strong understanding of observability, testing and CI/CD practices. Experience working with data platforms or stores such as MongoDB, OpenSearch or Databricks. Experience integrating internal systems and third-party services securely and reliably. Experience working closely with designers to deliver production-quality frontend applications. A good understanding of accessibility and frontend performance. Experience with RAG, AI agents, tool use or other generative AI application patterns would be advantageous, although deep ML expertise isn't required. This is an opportunity to have genuine ownership over how AI capabilities become usable, scalable software products. You'll be joining an AI-focused engineering environment where you can work at the intersection of software engineering, APIs, cloud infrastructure and generative AI, while helping establish the engineering standards and architecture that will support future products. If you're a senior engineer who enjoys moving between backend architecture and frontend delivery, wants ownership rather than simply a list of tickets, and is excited about where AI agents and modern application architecture are heading, we'd love to hear from you. INDLON 52212MS The Portfolio Group are acting on behalf of our client in recruiting for this position.

Senior Site Reliability Engineer (AWS CDK) Remote UK Permanent, Full Time £60,000 - £66,000 + 15% bonus VIQU has partnered with a leading UK technology organisation investing significantly in its cloud platform and engineering capability. They are looking for a Senior Site Reliability Engineer to help shape their AWS infrastructure, improve platform resilience and support the development of the wider engineering team. This is a genuinely hands-on senior role, with approximately 80% of your time focused on engineering and 20% on mentoring and supporting other engineers. As the Senior Site Reliability Engineer , you will take ownership across AWS infrastructure, automation, reliability and operational improvement while contributing to technical direction and engineering best practice. Key Responsibilities of the Senior Site Reliability Engineer Design, build and maintain scalable, secure AWS infrastructure using AWS CDK. Drive improvements across platform reliability, automation and infrastructure as code. Implement and improve CI/CD practices across the engineering environment. Enhance monitoring, observability and incident management. Improve cloud performance, resilience and operational efficiency. Work closely with engineering, architecture and delivery teams. Mentor and support engineers, promoting strong SRE and DevOps practices. Contribute to technical direction, architecture discussions and continuous improvement. Key Requirements of the Senior Site Reliability Engineer Strong commercial AWS CDK experience is essential. Candidates without AWS CDK experience cannot be considered. Proven senior-level experience across Site Reliability Engineering, Platform Engineering or DevOps. Strong hands-on AWS experience. Strong programming experience with TypeScript or Python , with TypeScript preferred. Experience building and maintaining CI/CD pipelines. Containerisation experience with Kubernetes, Amazon EKS, ECS or similar. Monitoring and observability experience using Grafana, Prometheus, OpenSearch, AppDynamics or similar. Strong understanding of cloud security, resilience and infrastructure automation. Previous experience mentoring engineers or providing technical leadership. AWS Associate certification would be advantageous but is not essential where strong AWS experience can be demonstrated. This Senior Site Reliability Engineer opportunity would suit someone who wants to remain highly technical while also having influence over engineering standards, platform reliability and the development of other engineers. Apply now to speak with VIQU IT in confidence, or contact Aaron Chiverton on the VIQU website. Know someone great? Refer them and receive up to £1,000 if successful (terms apply). For more roles, IT Recruitment on LinkedIn.

Cyber Security Engineer Stevenage Up to 92 per hour (Inside IR35) 24 Month Contract Onsite Stevenage We're supporting a leading organisation within the Defence sector in the recruitment of a Cyber Security Engineer to join a mature Cyber Security Operations function. This is a hands-on engineering role focused on the implementation, maintenance, optimisation and integration of security technologies across complex enterprise environments. Key Responsibilities Administer and maintain SIEM and security monitoring platforms Configure and optimise log ingestion, correlation rules and alerting Develop and maintain automation using PowerShell, Python and Regex Integrate security technologies using APIs, HTTP/S and JSON Implement, maintain and optimise cyber security tooling Manage platform upgrades, patching and technology refresh activities Administer security appliance certificates and lifecycle activities Onboard new data sources into security platforms Lead tool integration and capability enhancement projects Support incident investigations through advanced queries and custom scripting Maintain platform availability, resilience and performance Work closely with SOC analysts to improve detection capabilities and reduce false positives Support change management, CAB activities and technical implementation planning Essential Technical Skills Security Platforms SIEM administration and support Security tooling implementation and maintenance Log onboarding and data source integration Detection engineering and alert tuning Scripting & Automation PowerShell Python Regex Integration Technologies REST APIs HTTP/S JSON Infrastructure Active Directory LDAP Windows Server IIS SMB Storage Linux / Unix NFS Storage VMware Hyper-V Virtual Networking Security Engineering Certificate Management PKI Software Upgrades Security Platform Refresh Activities End of Life (EOL) Migrations End of Support (EOS) Upgrades Security Appliance Administration Threat Detection Technologies Desirable Splunk Microsoft Sentinel QRadar Elastic LogRhythm ArcSight Wazuh SOAR Platforms AI / Machine Learning Security Automation Proxy Administration Network Packet Capture Technologies EDR / XDR Platforms Contract Details Up to 92 per hour (Inside IR35) 24 Month Contract Stevenage 5 Days Onsite Single Stage Interview Process Defence Sector Environment This role is best suited to Cyber Security Engineers, Security Engineers, SIEM Engineers, Security Platform Engineers and Detection Engineers with strong experience across security tooling, automation and platform engineering.

Quantitative Analyst / Quantitative Research Analyst Hampshire, Remote Hybrid. 1-2 days a week onsite. New Product Environment Modern SaaS Platform AI Invested We're recruiting for a Quantitative Research Analyst , joining a new product team with the opportunity to build something from the ground up and make a significant impact across the business. The product itself isn't financial, but the challenge has strong parallels with quantitative trading and financial modelling - working with complex datasets, building structured models and using data to drive better decisions. What you'll be doing Building and refining quantitative models and decision-support frameworks Combining complex datasets to identify patterns, trends and opportunities Developing approaches to ranking, weighting and interpreting data Using Python, R, SQL and Excel for analysis and modelling Helping shape a completely new analytical capability within the business What we're looking for We're particularly interested in people currently working as a Quantitative Analyst , or a Data Analyst within quantitative trading / financial markets , who can bring that analytical approach into a new environment. You'll need a strong academic background in a highly quantitative subject such as Mathematics, Statistics, Economics, Finance, Engineering or similar, alongside strong quantitative modelling and data analysis experience. Why apply? This is an opportunity to take the techniques and analytical thinking associated with financial quantitative analysis and apply them to a completely different product and problem space. You'll be joining at the beginning of a new product capability, with significant scope to influence how it develops and the potential to make a major impact within the wider business. Have what it takes? Hit apply! Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Contract Details Initial 3-month contract Outside IR35 Hybrid working: 3 days per week onsite in Glasgow (Essential) Immediate start available Must have full right to work in the UK Requirements Strong experience with Python and JavaScript Experience with React and Next.js Strong web application development background DevOps experience Comfortable working across the full software development lifecycle Consultancy or client-facing experience is beneficial

Lead AI Architect Permanent Various Locations Up to 115,000pa We're seeking a Lead AI Architect to drive the delivery of large-scale AI and Data transformation programmes within the Security & Justice sector. This is a hands-on leadership role focused on taking AI solutions from proof of concept through to secure, scalable, production-grade deployments in highly regulated environments. The successful candidate will combine deep technical expertise in AI/ML, LLMs, Generative AI and cloud platforms with strong delivery leadership and stakeholder engagement skills. They will be responsible for designing end-to-end AI architectures, leading multidisciplinary teams, shaping technical roadmaps, and ensuring solutions meet stringent security, governance and operational requirements. Key Experience Required Proven track record delivering enterprise-scale AI/ML solutions into production Strong experience leading technical teams and complex transformation programmes Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong understanding of AI security, governance, ethical AI, model evaluation and risk management Excellent stakeholder management skills with the ability to translate complex technical concepts into business value Ideal Candidate A hands-on AI leader who has successfully delivered real-world AI systems at scale, balancing technical architecture, engineering excellence, client engagement and delivery leadership within complex, mission-critical environments. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Software Engineer - SC Cleared / SC Eligible Location: Newcastle upon Tyne About the Role We are working with a leading organisation who are building a brand new Software Engineering team in Newcastle. They are looking to hire multiple Software Engineers across Junior, Mid-level, and Senior levels. Due to the nature of the projects, candidates must hold active SC Clearance or be eligible to obtain SC Clearance. This is an excellent opportunity to join a growing team, work on meaningful and technically interesting projects, and shape the direction of a newly formed engineering function. Key Responsibilities Design, develop, test, and maintain high-quality software solutions. Work collaboratively within agile, cross-functional teams. Contribute to architectural decisions and technical design. Build scalable, secure, and high-performing applications. Participate in code reviews and promote best engineering practices. Support deployment, monitoring, and maintenance of applications in production. Mentor junior engineers (for mid and senior level roles). Required Skills & Experience We are open to candidates from a wide range of technical backgrounds. The technology stack is flexible, but experience in some of the following is highly desirable: Programming Languages: Python, C++, Go, Rust Cloud & DevOps: AWS or other major cloud platforms CI/CD pipelines Docker, Kubernetes, Terraform Monitoring and logging tools General: Strong software engineering fundamentals Experience working in agile environments Good problem-solving and communication skills Understanding of secure development practices Security Clearance Active SC Clearance OR eligibility to obtain SC Clearance is mandatory. Must have lived and worked in the UK for the past 5 years. Experience Levels Junior: 0-2 years commercial experience Strong fundamentals and eagerness to learn Mid-Level: 2-5 years commercial experience Ability to work independently and contribute to design Senior: 5+ years commercial experience Strong technical leadership and mentoring capability Benefits Competitive salary (dependent on experience) Excellent career development and training opportunities Modern tech stack and greenfield projects Supportive, collaborative culture If you are a Software Engineer looking for your next challenge and hold (or are eligible for) SC Clearance, we would love to hear from you. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Data Engineer 60,000 - 70,000 DOE East Kent Generous Hybrid Working Are you an experienced Data Engineer looking for an opportunity to help shape and improve the way a growing international organisation uses data? We're working with a well-established, technology-led organisation that is investing in its data and analytics capability. They are looking for a Data Engineer to join their Data Analytics team and play a key role in building reliable, scalable and reusable data solutions. This is an excellent opportunity for someone who enjoys getting to the heart of data challenges, improving data processes and working closely with both technical and business stakeholders. The Role As a Data Engineer, you'll be responsible for designing, developing and maintaining the data structures, pipelines and processes that support reporting and analytics across the organisation. You'll work closely with Data Analysts, reporting specialists and business stakeholders to understand their requirements, integrate data from different systems and turn it into clean, reliable and reusable datasets. You'll also have the opportunity to improve existing processes, automate manual tasks and contribute to the organisation's wider data strategy. Key responsibilities Design and maintain data structures to support analytics and reporting Develop reusable datasets and data models Build and maintain automated data pipelines and ETL/ELT processes Integrate data from multiple source systems Monitor pipelines and investigate data quality issues Implement data validation and reconciliation processes Work with system owners to resolve data issues at source Maintain clear documentation around datasets, transformations and data lineage Work with analysts and business stakeholders to translate requirements into effective data solutions Improve the reliability, efficiency and timeliness of data processes Identify opportunities to automate and reduce duplication Help establish repeatable processes for onboarding new data sources About You We're looking for someone with proven Data Engineering experience who is comfortable working with data from multiple systems and turning it into structured, reliable and reusable datasets. You'll have strong SQL skills, along with experience in data modelling, ETL/ELT processes, relational or analytical databases, data quality and validation, and building and maintaining data pipelines. Experience integrating multiple source systems will be important, while exposure to SAP / SAP BDC, BW/4HANA, SAP Analytics Cloud, Python, cloud data platforms or data governance would be advantageous. Experience working within a multinational organisation would also be beneficial. What's on Offer? This role offers a 60,000- 70,000 salary depending on experience, based in East Kent with generous hybrid working. You'll join an established and growing Data Analytics function, with the opportunity to make a genuine impact on the organisation's data capability. It's a role that combines hands-on technical data engineering with stakeholder engagement and continuous improvement, making it a great opportunity for someone who enjoys solving data problems, building robust data foundations and making data genuinely useful to the wider business

Financial Crime Data Lead Hybrid: Central London 2 days a week in the office Permanent Paying up to 120k + Bonus We are currently working with a leading organisation undergoing a major transformation of its Financial Crime, Risk and Compliance technology landscape. As part of this journey, they are looking to hire a Financial Crime Data Lead to play a central role in designing and building a new enterprise-wide Financial Crime data platform that will underpin key capabilities including transaction monitoring, client screening, onboarding, risk assessment and future AI-driven decision making. The Role This is a highly visible role sitting at the intersection of: Data Engineering Financial Crime Data Architecture Governance AI Enablement You'll be responsible for creating a trusted Financial Crime data layer that brings together multiple systems and data sources into a single foundation supporting reporting, controls, workflow automation and analytics. Key Responsibilities Design and deliver the Financial Crime data platform and canonical data model Integrate data from onboarding, CRM, screening, monitoring and compliance systems Build and maintain scalable data pipelines using modern cloud technologies Develop trusted datasets supporting KYC, AML, transaction monitoring and risk processes Implement data quality, lineage, governance and reconciliation controls Create MI and reporting solutions that provide visibility of alerts, investigations, risk trends and operational performance Support future AI and automation initiatives through AI-ready data products Partner with Compliance, Risk, Operations and Technology teams to define and deliver data requirements Establish data engineering standards, documentation and governance frameworks Key Skills & Experience Strong SQL and Python experience Commercial Snowflake experience (or equivalent modern cloud data platform) Data Engineering, Data Architecture or Data Product leadership background Experience building complex integrations, APIs and data pipelines Financial Crime experience including areas such as: KYC AML Transaction Monitoring Screening Risk Ratings Compliance Case Management Strong data governance, lineage and data quality experience Experience with dbt, Airflow, Azure Data Factory, Dagster or similar tooling CI/CD, Git and modern engineering practices Strong stakeholder engagement and communication skills Why Apply? Opportunity to help build a greenfield Financial Crime platform Significant influence over architecture, tooling and delivery approach High-profile programme with direct regulatory impact Strong executive sponsorship and visibility Opportunity to combine Data, Financial Crime and AI on a strategic transformation programme Join a growing data and technology function within a leading organisation If you'd like to learn more, please contact Jacob Ferdinand at . If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Senior Computer Vision Engineer - Deep Learning Salary: 70,000 to 95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer for an innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. This speaks volumes about the culture, technical challenges and long-term opportunities available. Senior Computer Vision Engineer role You will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers. This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment. You will help translate recent AI research into reliable products used within demanding defence and security environments. The position is predominantly office and customer-site based in West London, although some remote working will be available. Senior Computer Vision Engineer responsibilities Design, develop and optimise computer vision models using CNNs, Vision Transformers and related deep learning architectures. Develop customised neural networks, training strategies, loss functions and evaluation metrics. Implement and adapt techniques from recent AI and computer vision research. Build scalable training, validation, evaluation and inference pipelines. Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. Translate research outputs into maintainable, production-quality software. Collaborate with Software Engineers, Researchers, Technical Leaders and customers. Contribute to architecture decisions, testing and CI/CD practices. Support the deployment of computer vision systems into customer environments. Essential experience Strong commercial experience developing deep learning solutions for computer vision. Excellent Python development skills. Commercial experience using PyTorch. TensorFlow experience will also be considered. Strong knowledge of CNNs and modern computer vision techniques. Experience designing, modifying or adapting neural network architectures. Experience with model training, validation, hyperparameter optimisation and performance evaluation. Experience implementing techniques from recent AI or computer vision research. Experience delivering reliable AI systems into production. Strong software engineering practices, including Git, testing, code reviews and CI/CD. Excellent analytical, problem-solving and communication skills. Desirable experience Vision Transformer architectures. Object detection, tracking, segmentation or pose estimation. Multi-object localisation or multi-modal perception systems. GPU optimisation, CUDA, inference acceleration or edge AI. Real-time computer vision systems. Docker, Kubernetes, Kubeflow or MLOps pipelines. Aerial, satellite or ISR imagery. Synthetic data generation, Unreal Engine or NVIDIA Omniverse. Distributed training and large-scale model optimisation. Defence, government or national security projects. An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning, Robotics or a related subject. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing clearance is advantageous but is not required for every appointment. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. A shorter period of UK residency or time spent overseas will not necessarily prevent clearance, but eligibility will be assessed individually by the sponsoring authority.

Job Title: DV Cleared Data Engineer Location: Bath Duration: 12 months Rate: Up to 500 per day Must be willing and eligible to go through the DV clearance process Our client, a reputable organisation supporting high-profile government programmes, is hiring a DV Cleared Data Engineer to join a critical, secure environment. This role involves designing, building, and maintaining robust data pipelines and platforms to enable advanced analytics and intelligence operations. What you'll be doing: Develop, optimise, and support scalable data pipelines (batch and streaming) within secure environments. Manage ETL/ELT processes for diverse datasets, ensuring data quality, lineage, and governance. Collaborate with technical and business teams to translate complex requirements into effective data solutions. Maintain Elasticsearch solutions for indexing, search, and real-time data discovery. Ensure data platforms meet security, accreditation, and information assurance standards. Contribute to modern data architecture design across cloud and on-premise environments. Support Agile delivery teams, including Scrum and SAFe. What you'll bring: Proven experience as a Data Engineer in secure government, defence, or intelligence settings. Strong Python and SQL development skills. Hands-on experience with data integration tools like Airflow, NiFi, Azure Data Factory, or AWS Glue. Expertise in Elasticsearch management, indexing, and query optimisation. Knowledge of data modelling, warehousing, and modern data platform architectures. Familiarity with cloud platforms (AWS, Azure, GCP) in secure environments. Understanding of data security, governance, and information assurance. Experience with DevOps practices, CI/CD, and Infrastructure as Code. Desirable: Experience within UK Defence, Intelligence, or National Security sectors. Knowledge of big data tools such as Kafka, Spark, or Hadoop. Support for machine learning or advanced analytics workloads. Experience working with classified datasets and Elastic Stack (ELK). If you're ready to contribute to vital national security projects, apply now! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Junior IT & AI Support Engineer Location: Bicester, Oxfordshire (Hybrid) Salary: £30,000 - £35,000 (depending on experience) Job Type: Permanent, Full-Time Launch your IT career at the forefront of engineering, sustainability and Artificial Intelligence. Are you a Computer Science, Computing or IT graduate looking for more than a standard helpdesk role? This is an outstanding opportunity to build your career with an internationally respected engineering consultancy, working on real AI projects, not just resetting passwords. About the Company Our client is recognised for developing innovative, sustainable engineering solutions that help organisations improve performance while reducing environmental impact. Their work combines world-class engineering, advanced simulation and high-performance computing (HPC) to solve complex technical challenges across a range of industries. Working closely with an experienced Head of IT, you'll join a small, collaborative team with genuine exposure to enterprise IT infrastructure, cloud technologies, cybersecurity and AI implementation projects that will help shape the future of the business. Why This Role Stands Out You'll benefit from direct mentoring from an experienced Head of IT, hands-on exposure to AI implementation and digital transformation projects, and real experience supporting high-performance computing (HPC) environments. There are genuine career progression opportunities, hybrid working, and a friendly, supportive and innovative team environment to grow in. Key Responsibilities You'll provide first-line IT support across the business, troubleshooting hardware, software and network issues, and setting up and maintaining laptops, desktops, mobile devices and peripherals. You'll support Microsoft 365 (Outlook, Teams, SharePoint, OneDrive, Intune), create and manage user accounts, permissions and access requests, install software and carry out routine maintenance, and maintain IT documentation and asset registers. The role also involves supporting cybersecurity initiatives and device security, liaising with third-party IT suppliers, assisting with IT procurement and equipment deployment, and supporting business continuity and disaster recovery activities. AI & Digital Transformation Alongside core IT support, you'll get involved in researching and evaluating emerging AI technologies, assisting with the implementation and testing of AI solutions, and supporting workflow automation projects. You'll create user guides and training documentation, help colleagues adopt new technologies, and keep up to date with the latest developments in AI, identifying opportunities for continuous improvement along the way. About You We're looking for enthusiasm, curiosity and a genuine passion for technology. You may be a recent graduate in Computing, Computer Science, IT or a related discipline, or someone with 1-2 years' experience in an IT Support or Helpdesk role. You'll be interested in Artificial Intelligence and emerging technologies, and friendly, approachable and confident communicating with colleagues at all levels. Desirable Skills Ideally you'll have knowledge of Microsoft Windows, Microsoft 365, Microsoft Entra ID (Azure AD) or Active Directory, and Microsoft Intune, along with basic networking principles. Experience with PowerShell or Python, Microsoft Power Platform, Google Workspace or Google Cloud Platform, and AI tools such as Microsoft Copilot, ChatGPT or Perplexity would all be advantageous, as would familiarity with the Linux command line. Don't worry if you haven't worked with every technology listed if you're technically curious, enjoy learning and have a positive attitude, we'd love to hear from you. Is This You? If you're looking for more than resetting passwords, somewhere that will invest in your development, expose you to cutting-edge technology and give you a genuine part to play in the future of AI within an innovative engineering business apply today. Please note: If you have not heard from us within two weeks of your application, unfortunately you have not been selected on this occasion. Chiltern Park Recruitment is proud to be an equal opportunities employer. All applicants must have the permanent right to work in the UK in order to be considered for this position.

Graduate Software Developers x 5. Python C# .NET SQL JavaScript TypeScript React Cloud AI. 37-38K. Berkshire We are hiring for our client, an established international technology company developing cloud-based, AI-enabled software platforms used by major organisations worldwide. They are looking for high-calibre graduates, Graduate Software Developer who want to build a serious career in Software Engineering. This is not a graduate role where you'll spend your first year watching from the sidelines. You'll join an experienced engineering team and contribute to the development of real, business-critical applications and services. What You'll Be Doing as a Graduate Software Developer Designing, developing and testing software, principally using C# and .NET Building back-end applications and new product features Working with SQL Server and relational databases Developing with JavaScript, TypeScript and React Working within an Agile/Scrum engineering environment Testing, debugging and improving existing applications Using Git for source control and peer reviewing code Gaining exposure to Docker, Kubernetes, Cloud and modern application architecture Exploring new technologies, frameworks and approaches to software development Who We're Looking For You'll ideally have, as a Graduate Software Developer 2:1 or First-Class degree in Computer Science, Software Engineering, Mathematics, Physics, Engineering or another strong STEM discipline. With A levels at A-B grades or Eqvl. Strong analytical and problem-solving ability Programming experience in C#, C++, Java, Python or similar Some knowledge of SQL/databases Personal, university or commercial software development projects A genuine interest in becoming an accomplished Software Engineer

Job Title: Lead Python Developer Location: London Working Pattern: Hybrid (3 days a week in office) The Role We are looking for an experienced Lead Python Developer to join a growing technology team in London, taking a hands-on role in the design, development and delivery of high-quality software and analytical solutions. This is an opportunity for a technically strong developer who enjoys staying close to the code while also providing technical direction to the wider development team. You will be responsible for leading development practices, contributing to architecture and design decisions, conducting code reviews and helping to maintain high engineering standards. The ideal candidate will be an analytical thinker and strong problem solver , with excellent communication skills and the ability to work closely with both technical and non-technical stakeholders. Key Responsibilities Lead the development and delivery of robust, scalable applications using Python Remain hands-on with coding and contribute directly to the development of key projects Provide technical guidance and support to other developers Conduct thorough code reviews and ensure development standards and best practices are maintained Contribute to technical architecture, design and development decisions Analyse complex problems and develop effective, data-driven solutions Work extensively with data using SQL and R Identify opportunities to improve code quality, performance and development processes Collaborate with internal stakeholders to understand requirements and translate them into effective technical solutions Help mentor and develop members of the wider engineering team Communicate technical concepts clearly to both technical and non-technical audiences About You We are looking for someone who combines strong technical development skills with natural leadership ability . You will ideally have: Strong commercial experience developing with Python Good experience with R and SQL A proven track record as a Senior or Lead Developer A genuinely hands-on approach to software development Strong analytical and problem-solving abilities Experience carrying out code reviews and maintaining development standards The ability to make sound technical decisions and communicate them effectively Excellent written and verbal communication skills Experience mentoring or supporting other developers The ability to work collaboratively across technical and business teams A proactive mindset and a passion for building high-quality software Job Title: Lead Python Developer Location: London Working Pattern: Hybrid (3 days a week in office)

A leading consultancy partner is seeking two experienced Data Engineers to join a major data transformation and cloud modernisation programme within a large banking organisation. This is an excellent opportunity for hands-on Data Engineers who enjoy building scalable data solutions, solving complex data challenges, and contributing to enterprise-wide cloud transformation initiatives. Key Responsibilities Design, build, and optimise scalable ETL/ELT data pipelines. Develop and maintain data solutions using Databricks, Python, SQL, and Oracle. Support the migration of data assets from legacy platforms into modern cloud-based environments. Deliver enterprise-grade data solutions within a highly regulated environment. Ensure data quality, integrity, performance, and security standards are met. Collaborate with technical and business stakeholders to translate requirements into effective data solutions. Troubleshoot production issues and implement sustainable fixes. Contribute to the continuous improvement of the organisation's data platform and engineering practices. Required Skills & Experience 5+ years' commercial experience as a Data Engineer. Strong hands-on expertise with Databricks. Advanced SQL development skills. Strong Python programming experience. Extensive experience working with Oracle databases. Proven experience building and supporting enterprise data pipelines and integration solutions. Experience working within cloud-based data platforms. Strong understanding of data modelling, performance optimisation, and data quality controls. Desirable Experience Banking or Financial Services experience. Experience working within regulated environments. Exposure to Azure Data Platform services. Experience supporting cloud migration or modernisation programmes. Knowledge of CI/CD and DevOps practices for data engineering. Contract Details Inside IR35 6-month initial contract 3 days per week onsite in Canary Wharf, London Immediate start preferred If you are interested in learning more, please apply with an updated copy of your CV.

Job Title: Senior AI Engineer - Product Location: London (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced AI Engineer to join a rapidly growing organisation. This is a unique opportunity for someone who thrives at the intersection of product leadership, AI innovation, customer engagement, and commercial strategy. You'll operate across the full product lifecycle shaping roadmaps, working closely with engineering teams, engaging senior stakeholders, and delivering AI solutions that solve real-world business problems. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. Own and lead the end-to-end development of enterprise AI products from concept through to market launch and scale Define product strategy, roadmap, success metrics, and go-to-market plans Partner with AI engineers and data scientists to build production-grade AI capabilities Engage directly with senior client stakeholders, from analysts to C-suite executives, translating business challenges into AI-driven solutions Key Skills and Experience you must have: Strong experience in AI Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms (Claude, Open AI and AI orchestration frameworks) Experience within Financial services. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV.

Location: Belfast Working Arrangement: Office-based (3-4 days in the office per week) The Opportunity A growing, technology-focused organisation operating within the water and wastewater sector is looking to appoint a Data Analyst / Wastewater Modeller to join its technical team. The business develops innovative, data-driven solutions that help wastewater organisations identify potential issues within sewer networks, improve operational decision-making and support environmental performance. The role sits within a New Product Development team and combines wastewater hydraulic modelling, data analysis and emerging data-driven technologies. It would suit a Project Engineer, Project Scientist, Urban Drainage Modeller, Wastewater Modeller, Hydraulic Modeller or similar professional who is looking to build on their existing modelling experience while developing their skills in Python and data analytics. You'll work within a collaborative, cross-functional environment, taking ownership of projects and working alongside technical and development teams to deliver solutions for customers. About the Role This is a pragmatic, delivery-focused position involving the use of data, analytics and hydraulic modelling to develop solutions for customers within the wastewater sector. The role will involve: Developing an understanding of the company's technology and data-driven solutions. Supporting the scoping and delivery of customer projects. Analysing, interpreting and visualising wastewater and environmental data. Running hydraulic modelling simulations using InfoWorks ICM, SWMM or similar software. Working alongside software and product development teams to improve existing tools and functionality. Taking ownership of individual projects and delivering work within agreed timescales. Working with customers to understand project requirements and communicate findings. Applying industry knowledge and best practice to help develop effective technical solutions. Contributing to the development of new data-driven approaches within the wastewater sector. The work produced will support wastewater organisations in identifying network issues, reducing environmental impacts and informing future investment decisions. Essential Criteria A relevant third-level qualification. 2+ years' experience working with InfoWorks ICM, SWMM or similar hydraulic modelling software. Experience using QGIS or similar GIS software. Experience with data exploration and visualisation. Strong communication skills, both written and verbal. Ability to work collaboratively within a multidisciplinary team. Strong work ethic and a proactive approach to problem solving. Ability to review work and provide constructive feedback to colleagues. Commitment to producing high-quality work. A practical, problem-solving mindset. Curiosity and willingness to develop new technical skills. Desirable Criteria Relevant Master's or PhD qualification. Experience using Python, particularly libraries such as Pandas and GeoPandas. Experience with scripting or automation within hydraulic modelling software. Experience of software engineering, data science or analytics within the wastewater sector. Familiarity with cloud computing platforms, such as AWS. Experience working within an Agile delivery environment. Experience working with water company clients or engineering contractors. Experience of hydraulic model build and verification, including flow survey scoping and management. Experience developing options to reduce flooding, spills or other wastewater network issues. Key Responsibilities Work collaboratively with product development and engineering teams to deliver customer projects. Take ownership of individual projects, managing priorities, timescales and delivery requirements. Engage with customers to understand project requirements and communicate technical findings. Analyse and interpret data to develop practical solutions. Support the integration of project outputs into wider technical solutions. Identify potential bugs, improvements and changes and communicate these to the wider engineering team. Contribute ideas and technical knowledge to the continued development of the organisation's products and services. Benefits Private medical insurance, including dental and optical cover. Company pension scheme with 5% employer contribution and 5% employee contribution. 24 days' annual leave pro rata, plus 1 day birthday leave and statutory holidays. Enhanced maternity and paternity pay. Additional employee benefits covering areas such as electric vehicles, cycling, technology and home working. Car parking available close to the office. Why This Opportunity? This is an opportunity to combine your existing wastewater hydraulic modelling experience with data analytics and Python, while working on technically interesting projects within a growing technology-led business. The role offers the chance to take ownership of projects, work directly with customers and collaborate with software and product development specialists, with support available to develop your skills in areas where you may have less experience. We are an equal opportunity employer and value diversity in our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: We are looking for a Lead Software Engineer to join our Saab Seaeye Underwater Robotics Business in Fareham. The role will be lead design and implement software solutions for underwater robotics applications in line with the company's business needs through innovation, creativity and professionalism. Able to demonstrate expertise and experience in software used on industrial/vehicle/vessel systems. Reporting to the Software Manager the Software Lead role involves taking responsibility for the delivery of projects and leading multidisciplinary teams to deliver technically complex software projects for subsea vehicles and associated robotic functions. Typically requiring input from several differing software and engineering disciplines and supporting functions the software lead is able to bind these inputs together to successfully deliver the software content for Saab products. Qualifications and Skills: Required skills: A minimum of 7 years' experience as a Senior Engineer. A Degree in a relevant Engineering Discipline. Broad understanding of software from embedded though to applications Leading multi-disciplined teams of software engineers Able to develop a software architecture for complex systems from scratch Sound understanding of modern software methods and technologies Able to maintain a system level approach and not get lost in the detail Able to develop system level requirements and derive lower level requirements to achieve these Sound understanding of safety concepts and design Able to interface directly with customers Able to act as a technical authority Able to communicate technical concepts to non-technical stakeholders Able to estimate work content and duration Able to plan work loading for teams ensuring no team member is overloaded Able to develop and instigate processes to ensure industry best practice is achieved Able to ensure appropriate levels of Software Quality are achieved for projects Able to mentor and develop junior engineers Ability to delegate tasks Able to manage resources and budgets Practical understanding of standards and application of standards Appreciation of Cyber Security and the impacts on design In addition, you will be Able to demonstrate software skills in some of the following technologies on both Windows and Linux: C++ Javascript Python XML JSON HTML CSS Web backend servers (Angular, Django, NodeJS, React, Apache or similar) Web Sockets Docker TCP-IP / UDP SQL or other databases Dev tools (Wireshark, system log interrogation etc ) Databases Cyber Security Desirable: Exposure to IP video and video routing Familiarity in design and testing of control software Familiarity with Systems serving Real Time Information via Web Sockets Use of DDS and interfacing with it Message Queues (Active MQ/Rabbit MQ/ZeroMQ) GUI Development experience (.Net GUI framework, Qt 6.2 or previous versions) Developing and debugging software for application software in Visual studio (2013, 2017, 2022) Customer facing API's using web technologies By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: To design and implement application and software solutions for underwater robotics applications in line with Saab Seaeye's business needs through innovation, creativity and professionalism. You will be tasked with designing and developing software for the next generation of underwater vehicles as well as supporting and developing on existing codebase and products. Qualifications and Skills: A Degree in a relevant Engineering Discipline or Software Engineering Qualification with industry experience Strong C++ with demonstrable skills and knowledge of at least C+. Familiarity in development of control software Solid understanding of software design and architecture Backend server design/structure Familiar with Standard Web Technologies Exposure to front end - Able to construct functional web pages Software skills in Javascript, Python, XML, JSON, HTML or CSS on both Windows and Linux. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Machine Learning Engineer - Spiking Neural Networks Salary: 75,000 to 100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. Machine Learning Engineer role You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into a practical and usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office and customer-site based in West London, although some remote working will be available. Machine Learning Engineer responsibilities Apply your knowledge of SNNs to the development of a novel machine vision engine. Develop high-quality C++ software based on research outputs and product requirements. Use machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. Contribute to system design, version control, testing and CI/CD pipelines. Support colleagues and customers during technical discussions and project delivery. Essential experience Current hands-on experience developing Spiking Neural Networks. Strong C++ programming and software engineering skills. Knowledge of machine vision, image analysis or computer vision. The ability to understand research outputs and transform them into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related machine vision. Commercial software development alongside academic or research experience. An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing security clearance would be highly advantageous. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. Applicants with a shorter UK residency history may still be considered, subject to the sponsoring authority being able to complete the required checks.

Morela is proud to be supporting a private, entrepreneurial family-owned real estate group with a multi-billion-pound property portfolio and a private credit book. Long established, cash generative, and quietly one of the larger privately held property businesses in the country. Not a name you will see on job boards, because they have never needed to advertise. And, remarkably, no data platform. Property management, asset management and accounting all sit in separate systems that do not talk to each other, which means nobody in the business has a single, trusted view of what it owns. They could have bought something off the shelf. They could have handed it to a consultancy. Instead, they have decided to build it properly, in-house, and this is the person who builds it. This is a blank page. You choose the stack. You design the model. You decide what gets built and what gets bought. There is no legacy platform to inherit and no architect sitting above you telling you how it is done. Because the business is family-owned, it actually moves: no steering committee, no six-week approval cycle, no business case to defend three times before you write a line of code. You will sit alongside the principals and the operating teams, so what you build goes live and gets used that week. Get the foundation right and the question that follows is a genuinely interesting one: whether the tooling you have built internally becomes a product in its own right. YOUR ROLE Set the direction. Identify and translate the organisation's highest-value problems into a technical roadmap, balancing a robust platform architecture against rapid delivery. Build the foundation. Design the data model that operates as a single source of truth, and the pipelines that store and reconcile properties, entities, leases, tenants, projects, invoices, cash flows, valuations and documents across multiple sources. Connect the estate. Build integrations with third-party vendors across APIs, webhooks, direct database access and scheduled ingestion. Kill the manual work. Eliminate repetitive manual work across internal workflows: data collection, validation, approvals, reconciliations, reminders, document generation and reporting. Ship what people use. Deliver dashboards, reports, alerts and internal applications that principals and operating teams can trust and actually use. Put AI to work properly. Build LLM pipelines for extraction, classification, retrieval and workflow support, with evaluations, human-in-the-loop oversight and auditability, so it is explainable rather than a black box. Set the bar. Set the standards for security, testing, deployment, monitoring and documentation, manage selected vendors, build the engineering culture, and mentor the junior data engineer. WHAT WE ARE LOOKING FOR A strong record of building and operating reliable pipelines, integrations, data models or platforms that serve real users and business-critical decisions. Strong programming fundamentals in Python, TypeScript and SQL at expert working level, covering testing, performance and maintainability, with the judgement to review others' code and hold a high-quality bar. Confidence building robust REST APIs, working with relational databases such as PostgreSQL, modelling data, running ETL/ELT pipelines, and making pragmatic build-versus-buy calls. Experience deploying production systems in AWS, Azure or GCP, accounting for monitoring, secrets management, access control, backups and disaster recovery. Experience with production LLM pipelines: context engineering, evaluation, retrieval, tool use and guardrails. Experience taking a platform from prototype to production or working in an early-stage environment with a rapidly evolving product. Mature judgement handling financially sensitive, personal and commercially confidential information in a regulated industry. The ability to set direction, mentor a junior colleague and introduce engineering discipline while staying practical, fast and close to end users. Curiosity about how internal tools can be abstracted and generalised into a product. HELPFUL, BUT NOT ESSENTIAL Proptech, fintech, accounting technology, asset management, construction, private investment operations or another data-intensive regulated environment. Modern data warehouses, transformation and orchestration tooling, business intelligence platforms and internal web applications. Document processing, OCR, search and retrieval systems, workflow engines or human-in-the-loop review tools. UK data protection, information security and operational resilience principles. WHY THIS ONE IS WORTH A CONVERSATION Scope most senior engineers never get. The platform is yours to define, not someone else's to maintain. Direct access to the people who decide, without the layers that slow good engineering down. Real AI work with real constraints, where auditability and evaluation matter as much as the model. The stability of a long-established, cash-generative business, with the pace and the blank page of an early-stage one. THE PROCESS Morela is supporting this search and managing the process end to end. If the brief resonates, get in touch for a confidential conversation before you commit to anything; the client is named only once you are happy to be represented. Appointment will be subject to appropriate references, background checks and a confidentiality agreement. We welcome applicants from different backgrounds whose skills and evidence meet the requirements, and reasonable adjustments are available throughout the process. For immediate consideration email (url removed)

Engineering Test Engineer Worsley Mon-Thurs 7am-5.30pm 34,000 - 37,000 Job Purpose The Engineering Test Engineer is responsible for planning, developing, and executing tests to verify that products, systems, and components meet design, performance, quality, and regulatory requirements. The role supports product development, manufacturing, and continuous improvement activities through robust testing and data analysis. Key Responsibilities Develop and execute test plans, procedures, and validation protocols. Design and maintain test equipment, fixtures, and automated test systems. Conduct functional, performance, environmental, reliability, and endurance testing. Analyse test results and identify failures, trends, and root causes. Produce detailed test reports and communicate findings to engineering teams. Collaborate with design, manufacturing, quality, and supply chain teams to resolve technical issues. Verify compliance with customer, industry, and regulatory requirements. Support product qualification, verification, and certification activities. Assist with Failure Mode and Effects Analysis (FMEA) and risk assessments. Develop and improve test methods to increase efficiency, accuracy, and repeatability. Ensure testing activities comply with company quality management systems and relevant standards. Maintain calibration and validation records for test equipment. Assist in managing obsolescence projects Required Skills & Experience Essential Degree or HNC/HND in Engineering (Mechanical, Electrical, Electronic, Aerospace, Manufacturing, or related discipline). Experience in engineering testing, validation, verification, or quality assurance. Ability to interpret engineering drawings, specifications, and standards. Strong problem-solving and root cause analysis skills. Experience with data acquisition and analysis tools. Excellent technical report writing and communication skills. Desirable Experience in aerospace, automotive, defence, manufacturing, or other regulated industries. Knowledge of AS9100, ISO 9001, or similar quality standards. Experience with automated test systems, LabVIEW, Python, or PLC-based test equipment. Understanding of statistical analysis and measurement system capability studies (e.g., Gauge R&R). Key Competencies Attention to detail Analytical thinking Technical troubleshooting Planning and organisation Teamwork and collaboration Continuous improvement mindset Safety and quality focus Typical Deliverables Test plans and procedures Validation and verification reports Test data analysis and recommendations Non-conformance and failure investigation reports Continuous improvement proposals Benefits 37.5-hour condensed 4-day working week , offering an excellent work-life balance. Company healthcare scheme following successful completion of probation. Company pension scheme following successful completion of probation. Flexible holiday scheme, with the option to buy or sell up to one week's annual leave (minimum one day), following probation. 22.5 days annual leave plus statutory bank holidays. Christmas shutdown, with leave taken from annual holiday entitlement.

Full Stack Developer - Python, Django / Flask, React, Azure Up to 410 per day (Inside IR35 - Umbrella) Coventry (1/2 days a month) 3 months initial contract My client is an International Consultancy who are looking to hire a Full Stack Developer with demonstrable experience in Python, Django, Flask, React, Azure, SQL and YAML to work with a high-profile end customer. Key Requirements: Proven Full Stack Development experience in a large, complex organisation Technical expertise in Python (Django, Flask frameworks) Demonstrable skills in React, JavaScript (Vanilla) and Node.js Working knowledge of API integration and workflow automation SQL (Database Management) and Data Integration skills Azure Cloud deployment YAML pipeline experience Familiarity with Azure DevOps or similar CI/CD tools Nice to have: Utilities / Engineering / Construction industry experience Knowledge of NEC contract compliance Immediate availability If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career. Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

DevOps Consultant +9 months + +DV cleared +Hybrid 2 days a week on site in Corsham +Inside IR35 + 650 - 700 a day Key Skills: + Terraform + DV Clearance We're looking for an experienced DevOps Consultant to join a high-profile UK Government programme, designing and delivering secure DevOps platforms within highly secure, air-gapped environments. This is an opportunity to play a key role in shaping the DevOps capability that underpins critical national infrastructure, working with modern tooling and providing technical leadership across architecture, automation and platform assurance. The Role You'll lead the design, implementation and ongoing assurance of secure DevOps tooling, ensuring solutions meet stringent security and accreditation standards while enabling efficient software delivery in disconnected environments. Key Responsibilities Architect and implement secure DevOps platforms using GitLab, Jira, Confluence and Ansible Design integrated CI/CD solutions for air-gapped environments Develop secure software promotion, patching and update processes Define toolchain integration and automation strategies Champion Infrastructure as Code, automation and DevOps best practices Produce High-Level and Low-Level Designs (HLDs/LLDs), operational documentation and security artefacts Conduct technical design reviews, security assurance and compliance activities Support platform optimisation, troubleshooting and stakeholder engagement across secure customer sites Essential Skills Active DV Clearance Proven experience as a DevOps Architect or Senior DevOps Engineer within secure or regulated environments Strong expertise with: GitLab (CI/CD, repositories, runners and security) Jira Confluence Ansible VMware technologies Experience designing and supporting DevOps platforms in offline/air-gapped environments Strong knowledge of Infrastructure as Code, configuration management and automation Experience producing HLDs, LLDs, SOPs, runbooks and security documentation Scripting experience with Bash, Python and Ansible YAML Knowledge of secure build and release management, access control and audit requirements Experience supporting security accreditation and assurance activities

DV Cleared AI Engineer Location: Central London (Hybrid) Salary: 80,000 - 100,000 + Performance Bonus + Excellent Benefits Security Clearance: Active UK DV Clearance Required Shape the Future of National Security & Advanced Technology We're partnering with an innovative organisation delivering cutting-edge technology solutions across some of the UK's most complex and high-impact programmes. We're looking for DV Cleared professionals with experience in Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, or Palantir Technologies to join a growing team based in Central London . Whether you're a recent graduate with active DV clearance or an experienced Senior Engineer , we'd love to hear from you. We're Looking For You may have experience in one or more of the following: Artificial Intelligence (AI) & Machine Learning Generative AI & Large Language Models (LLMs) Palantir Foundry, Gotham or AIP Data Engineering & Data Analytics Software Engineering Python, Java or similar programming languages Cloud technologies (AWS, Azure or GCP) Data integration, modelling and visualisation Solving complex technical challenges within secure environments What You'll Bring Active UK Developed Vetting (DV) Clearance (essential) A passion for solving challenging technical problems Strong analytical and communication skills The ability to work collaboratively with multidisciplinary teams A desire to contribute to projects that make a real-world impact What's on Offer Competitive salary of 40,000 - 100,000 depending on experience Performance-related bonus Comprehensive company benefits package Clear career progression from Graduate through to Senior Engineer The opportunity to work with industry-leading technologies, including AI and Palantir Exposure to high-profile, mission-critical programmes A collaborative, high-performing technical environment Interested? If you hold active UK DV Clearance and have experience with AI, Machine Learning, Palantir Technologies , or related engineering disciplines, we'd love to speak with you. Apply today or get in touch for a confidential discussion to learn more about these exciting opportunities in Central London.

Mid-Senior Software Developer to join a growing software engineering team delivering mission-critical solutions within logistics, automation and industrial environments. This role offers the opportunity to work on the design, development and deployment of scalable software platforms that integrate with advanced operational technologies, warehouse systems, robotics, and enterprise applications. The successful candidate will play an active role in developing new functionality, enhancing existing products, and supporting customers throughout the software lifecycle. The position is ideal for a developer who enjoys solving complex technical challenges, collaborating with multidisciplinary teams, and working on software that powers real-world operational systems. Key Responsibilities Design, develop and maintain scalable software applications using .NET and Python Build and support RESTful APIs and backend services Develop integrations between internal platforms and third-party applications Work closely with project teams to gather requirements and design technical solutions Contribute to software architecture, system design and technology selection Develop robust database solutions and optimise application performance Support testing, deployment and commissioning activities Troubleshoot software defects and identify root causes of issues Participate in code reviews and promote software engineering best practices Produce technical documentation including functional specifications, API documentation and deployment guides Work within Agile development methodologies and contribute to sprint planning activities Support continuous improvement initiatives and platform innovation Collaborate with stakeholders to ensure project objectives and delivery milestones are achieved Support production systems and provide technical assistance where required Technical Requirements Essential Strong commercial experience developing applications using C# and .NET Commercial Python development experience Experience building REST APIs and service-oriented architectures Strong understanding of software design principles and object-oriented programming Experience working with PostgreSQL, SQL Server or other relational databases Knowledge of database design, optimisation and query development Experience integrating software systems and third-party applications Proficient with Git source control and modern development workflows Experience using Docker and containerised deployments Strong debugging and troubleshooting capabilities Excellent communication and problem-solving skills Desirable FastAPI, Flask or Django RabbitMQ or other messaging technologies Microservices architecture CI/CD pipelines Azure or cloud-hosted environments Linux environments AI/LLM integrations and automation tooling Warehouse Management Systems (WMS) Warehouse Control Systems (WCS) Robotics, AMR or ASRS technologies Industrial automation experience To find out more about Computer Futures please visit (url removed) Computer Futures, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy Registered office 8 Bishopsgate, London, EC2N 4BQ, United Kingdom Partnership Number OC(phone number removed) England and Wales

Software Engineer (Python & AWS) - Data Science Focus Location: Derby - 1 day per week Salary: 60,000 - 75,000 About the Opportunity We're looking for a talented Software Engineer with a strong interest in data and data science to join an innovative technology team. This is an opportunity to work on complex, data-driven products that combine software engineering, cloud technologies and machine learning. You'll be involved in designing and building applications, APIs and data pipelines that help transform large volumes of complex data into meaningful, actionable insights. What You'll Be Doing Designing and developing data pipelines, ETL processes and backend services using Python. Building and maintaining APIs and microservices that deliver data products to internal and external users. Working with large and complex datasets Implementing and deploying machine learning models and statistical analysis into production environments. Designing and managing AWS cloud infrastructure to support data and application workloads What We're Looking For Strong Python development experience, ideally with exposure to libraries such as NumPy, Pandas or Scikit-learn. Experience building data pipelines and working with structured and unstructured data. Experience working with AWS services such as S3, Lambda, EC2, RDS and Glue. A solid understanding of statistics and applied mathematics. The ability to understand, interpret and extend complex algorithms and business logic. A strong grounding in software engineering principles, including testing, code quality and design patterns. Experience with Git, CI/CD pipelines and Agile development practices. Desirable Skills Experience working with time-series, geospatial, sensor or other complex datasets. Exposure to machine learning or deploying ML models into production. Familiarity with frontend technologies such as React and TypeScript. Experience with infrastructure as code, such as Terraform or CloudFormation. AWS certifications would be beneficial Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Graduate Software Developers x 5. Python C# .NET SQL JavaScript TypeScript React Cloud AI We are hiring for our client, an established international technology company developing cloud-based, AI-enabled software platforms used by major organisations worldwide. They are looking for high-calibre graduates who want to build a serious career in Software Engineering. This is not a graduate role where you'll spend your first year watching from the sidelines. You'll join an experienced engineering team and contribute to the development of real, business-critical applications and services. What You'll Be Doing Designing, developing and testing software, principally using C# and .NET Building back-end applications and new product features Working with SQL Server and relational databases Developing with JavaScript, TypeScript and React Working within an Agile/Scrum engineering environment Testing, debugging and improving existing applications Using Git for source control and peer reviewing code Gaining exposure to Docker, Kubernetes, Cloud and modern application architecture Exploring new technologies, frameworks and approaches to software development Who We're Looking For You'll ideally have: 2:1 or First-Class degree in Computer Science, Software Engineering, Mathematics, Physics, Engineering or another strong STEM discipline. With A levels at A-B grades or Eqvl. Strong analytical and problem-solving ability Programming experience in C#, C++, Java, Python or similar Some knowledge of SQL/databases Personal, university or commercial software development projects A genuine interest in becoming an accomplished Software Engineer Experience with C#, .NET, React, Git, Docker or Kubernetes is advantageous, but we're not expecting graduates to arrive knowing everything. We're interested in ability, curiosity and potential. Why Apply? You'll be joining a technology business working across Cloud, AI, communications and enterprise software, with experienced engineers around you and genuine opportunities to develop. If you've spent several years building your technical knowledge and now want to see how far you can take it, this is the opportunity to go for gold.

Software/Systems Test Engineer - 3684 Initial 6-month contract 3-4 days onsite in Stevenage SC must be in place to start the contract 60.81ph, UMB inside IR35 Overview of department: Our client's Weapon Systems Simulation & Experimentation (WSSE) department is at the forefront of integrating real products, models, synthetic environments, and people throughout the systems life cycle. We use agile methodologies to develop real-time software components that simulate complex weapon systems and sub-systems. Embedded within WSSE, the Integration & Missile Validation (IMV) Team provides best practice and capability to ensure our products are rigorously tested, fit-for-purpose, and ready for delivery. Your work will directly ensure the quality, functionality and performance of our advanced simulation systems. This is a unique opportunity to work in our cutting edge Digital Battlespace Facility. The role is dynamic and fast-paced, and could include working on a variety of rapid mini-projects or critical longer-term main projects. It is a fantastic opportunity to work throughout the product lifecycle, from concept demonstration, product development, systems integration and customer training. Reporting to the IMV Team Lead, you will be responsible for the end-to-end software testing and proving lifecycle for one or more WSSE products in software simulation/emulation environment. Your responsibilities will span planning, conduct, and reporting as follows :- Responsibilities: Test/Proving Planning Both be able to work off formal requirements and to flexibly interpret customer needs to form a vision of how the software should behave. Understanding design and architecture including defining software test bed requirements. Developing comprehensive software test plans, designs, and specifications. Test/Proving Conduct Regular progressive software testing assurance during software development cycles. Leading technical investigations into software defects and emergent behaviours. Supporting external software integration, trials and demonstrations with engineering partners and customers. Conducting data analysis of logs to identify issues and demonstrate compliance to requirements. Executing formal software qualification testing. Test/Proving Reporting Providing regular updates to project leads and stakeholders on software functionality. Writing detailed software test and analysis reports for certification purposes. Supporting the software delivery and release process, including final certification activities. Technical Knowledge: Knowledge of Agile Scrum. Understanding software Logs/Data analysis. Understanding of CI/CD software pipeline. Software verification and validation, and understanding technical requirements. Essential Skills & Experience: Systems proving: Experience in E2E software testing at scale/large complex programs. Python coding experience. Experience in using HP, IBM ALM/ETM, Doors, JIRA. Familiarity with SCRUM agile mind-set and methodologies for software development. ISTQB: Software testing certifications. Desirable Skills: Software testing in Defence Industry. Simulation/ Emulators experience.

Infrastructure Automation Engineer Lead Location: London Pay: 600 per day Contract: 6 months Shape the Future of Infrastructure Automation We are embarking on a major transformation programme to embed automation across our global infrastructure estate, and we're looking for an experienced Infrastructure Automation Engineer Lead (VP) to help drive this strategic initiative. This is an exciting opportunity to play a key role in accelerating Infrastructure as Code (IaC), automation, and platform engineering practices across a complex global environment supporting approximately 3,000 servers and services. You'll work at the intersection of Infrastructure, Cloud, Security, Development, and Architecture teams to build scalable, secure, and reusable automation solutions that improve operational efficiency, consistency, and resilience. If you're passionate about automation, cloud technologies, DevOps practices, and modern infrastructure engineering, we'd love to hear from you. What You'll Be Doing As Infrastructure Automation Engineer Lead, you will: Design, develop and maintain Infrastructure as Code solutions using Terraform, Ansible and Python. Drive automation adoption across compute, storage, cloud and network infrastructure teams. Build reusable automation frameworks, templates and standards to enable consistent delivery across global platforms. Contribute to the development of internal platform engineering capabilities and self-service infrastructure solutions. Integrate automation into VMware, Azure and GitHub-based workflows. Partner closely with Infrastructure, Security, Development, SRE and Architecture teams to identify and eliminate manual processes. Support the delivery of the Infrastructure Automation Programme roadmap and key objectives. Ensure automation solutions are secure, compliant and aligned with organisational standards. Develop CI/CD integrations, guardrails and governance controls for infrastructure automation. Act as a technical leader and trusted advisor across infrastructure transformation initiatives. Participate in out-of-hours support and major incident escalation when required. What We're Looking For Essential Skills & Experience Strong experience with Infrastructure as Code (IaC) practices. Advanced hands-on experience with Terraform . Advanced experience with Ansible . Strong scripting skills using Python , PowerShell or Bash. Experience working with Git-based development workflows (GitHub, GitLab or similar). Strong understanding of CI/CD pipelines and DevOps methodologies. Experience with cloud infrastructure, ideally Azure and/or AWS. Good knowledge of VMware infrastructure services. Solid understanding of enterprise infrastructure including compute, storage and networking. Experience working within structured change management and regulated environments. Proven ability to collaborate effectively across technical teams and stakeholders. Strong networking knowledge. Additional Experience We Value Platform Engineering and Internal Developer Platform experience. Terraform module development and reusable automation libraries. Cloud migration and modernisation programmes. Hybrid cloud architecture and landing zone design. Kubernetes, Docker or OpenShift experience. Enterprise governance, security and compliance frameworks. Greenfield infrastructure and automation projects. Infrastructure architecture and target-state design. Qualifications Degree in Computer Science, Engineering, Information Technology or equivalent practical experience. Desirable Certifications HashiCorp Terraform Associate Red Hat Ansible Certification Microsoft Azure Administrator Azure Solutions Architect Relevant cloud, automation or DevOps certifications What You'll Bring Excellent communication and stakeholder management skills. A proactive, customer-focused mindset. Strong analytical and problem-solving capability. The ability to influence and drive change across technical teams. Meticulous attention to detail. A collaborative approach and passion for continuous improvement. The ability to lead by example and mentor others. Why Join Us? You'll play a pivotal role in shaping the future of infrastructure engineering, helping deliver modern automation capabilities that support business growth, operational excellence and technology transformation on a global scale. Join us and help build the next generation of infrastructure automation. Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you. 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. .

Software Engineer Location: Nottingham (Hybrid) Python Linux DevOps Kubernetes Terraform SC Eligible Are you a Software Engineer looking for an opportunity to work on technically challenging software within a collaborative engineering environment? We're working with an established technology business looking to add a Software Engineer to its growing engineering team. This is an excellent opportunity for someone with a strong Python background who enjoys working across software development, DevOps and infrastructure automation. The Role You'll work on a variety of secure software projects, contributing throughout the full development lifecycle whilst collaborating closely with experienced engineers across multiple product teams. Responsibilities include: Developing high-quality software using Python Linux-based software development Bash scripting and automation CI/CD and DevOps tooling Infrastructure as Code Docker & Kubernetes deployments Technical documentation Third-line technical investigations Sprint planning and Agile ceremonies Mentoring colleagues and contributing to engineering best practice Required Experience 3-5+ years commercial software engineering experience Python Linux Bash scripting Agile development Highly Desirable Docker Kubernetes Helm Terraform Ansible Jenkins Secure software environments Existing SC Clearance Why Apply? Diverse engineering projects Hybrid working Strong technical culture Investment in learning and development Exposure to cutting-edge DevOps technologies Long-term career progression Please note: Due to the nature of the work, applicants must be eligible to obtain UK SC Security Clearance. Existing SC Clearance is highly advantageous.

Software Engineer / Knaresborough, North Yorkshire, Hybrid / £35,000 - £45,000 Per Annum D.O.E. Are you an experienced Software Engineer looking to join a leader in geospatial services for the Electric Utilities market? At NM Group we re now seeking an ambitious individual to help evolve our pioneering technology. At NM Group, we prioritise your long-term career growth and potential, offering a role tailored to your strengths within our dynamic team. What We Offer: A competitive Salary of between £35,000 - £45,000 depending on experience. Comprehensive Benefits including Private pension matching, Bupa dental cover, Salary Sacrifice schemes (EV, Cycle scheme), holiday trading, education & development reimbursement, enhanced maternity & paternity pay, EAP, and retail discount perks Flexibility: Supportive working environment with 60% remote typical. Impact: A collaborative role where you'll contribute directly to our core technology stack. You'll work on meaningful engineering projects, solve technical challenges alongside the team, and help improve our existing codebase while growing your skills in an agile, supportive environment. Required Skills & Experience of the Software Engineer: Strong Python: Writing and maintaining data pipelines. Able to solve complex problems. Excellent written, oral and visual communication skills to explain complex information. Enjoys and works well in a team-based environment, and is self-motivated to individually succeed. Understands and implements best practices of modern Software Engineering including Agile Software Development, Automated Testing, Configuration Management principles and DevOps. Has the rigour and care to manage and control changes to development, testing and production environments. Desirable skills & experience: C# / .NET: experience building libraries and command-line tools with .NET 8.0+. Comfortable reading and safely modifying existing/legacy codebases; good documentation and PR practices. SQL Databases: PostgreSQL and SQLite experience (schema design, migrations, basicperformance tuning). Orchestration & data engineering: experience with workflow/orchestration tools (Prefect or similar) and distributed task queuing (e.g. Celery, RabbitMQ). Testing & automation: writing unit and basic integration tests as well as automating test runs as part of CI pipelines e.g. GitHub Actions. AI-assisted development: comfortable using AI-assisted tools (e.g., GitHub Copilot) to increase productivity, while validating and testing any AI-generated code and understanding its limitations. Experience building or maintaining REST APIs, microservices, event-driven services, and message-driven patterns. Containerisation: experience using Docker and deploying containerised applications Nice to have: GIS & point-cloud processing: GDAL/PDAL, GeoPandas, Open3D, LAS/LAZ/Raster/Vectorhandling, spatial transforms and analysis. TypeScript/JavaScript for developing front-end dashboards and user interfaces. Packaging & distribution: familiarity with publishing and versioning packages (NuGet and/or PyPI). About NM Group: NM Group optimises the performance of electricity networks by remotely sensing and serving the position and condition of our client's assets. From mapping and presenting spatial data on an electrical network through to modelling and displaying a 3D virtual network environment we deliver value to electricity network operators. Further information can be found on the company website. What s Next? Applicants must be resident in the UK and hold valid, legal right-to-work status in the UK. To apply for this role, please click the apply now button and we ll be in touch.

Job Title: Snowflake Data Architect Salary: Paying between 85- 110,000 Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products. Cross-Cloud Orchestration : Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability. Snowflake Governance : Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments. FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for Bestway's AI product layer. Data Contracts : Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.

DV Cleared DevOps / Software Engineer - Contract 550- 600 per day Outside IR35 Condensed week available - work 3 long days, paid for 5 Active MOD DV Clearance required We are looking for an experienced DV Cleared DevOps / Software Engineer to join a high-impact technical environment. This role suits someone who thrives in modern DevOps ecosystems, enjoys building secure, scalable platforms, and wants the flexibility of a condensed working week . You will work across the full software delivery lifecycle , helping to design, build, automate, and maintain robust cloud-native and containerised platforms. Key Responsibilities Design, build and maintain CI/CD pipelines for reliable software delivery Deploy and manage Kubernetes clusters and application platforms Collaborate with engineers to develop, test, and release software efficiently Implement automation and infrastructure as code Ensure systems remain secure, resilient, and scalable Deliver software fixes, upgrades, and performance improvements Contribute to workflow improvements and DevOps best practices Technical Skills (Must Have) CI/CD & Automation: GitLab CI, Terraform, Ansible, Helm Charts Scripting & APIs: Python, PowerShell, REST APIs Containerisation & Platforms: Kubernetes cluster build and application delivery Application Technologies: Apache NiFi, Elastic ECK, Artifactory Secrets Management: Hashicorp Vault Operating Systems: RedHat Linux and Windows Experience & Background Experience across the full software development lifecycle Strong understanding of automation and DevOps tooling Knowledge of secure software delivery practices Comfortable working with multiple programming / scripting languages Ability to collaborate across teams and support continuous improvement Key Details Contract Rate: 550- 600 per day Status: Outside IR35 Clearance: Active MOD DV clearance required Working Pattern: Option for condensed week (3 long days, paid for 5)

Power BI Developer (x2) - Contract - 3-6 Month Contract I am currently looking for two strong Power BI Developers. My client is looking to get people started to deliver hospitality and commercial reporting solutions. As a Power BI Developer you will be focused on hands-on delivery, creating a new suite of Power BI reports for hospitality reporting from agreed business requirements, as well as improving and standardising the existing commercial reporting suite. The client requires individuals focused purely on hands-on execution rather than defining strategy. Location: Manchester - 1 day per week Contract Length: 3-6 months Day Rate: Dependent on Experience IR35 Status: Awaiting determination Required experience will include: Strong hands-on experience developing maintainable Power BI reporting solutions. Advanced skills in DAX and semantic modelling. Proven track record in report design, usability, and performance optimisation. Hands-on delivery experience within hospitality reporting and commercial reporting environments. Experience working with Databricks is useful. Ability to interpret Python/PySpark is beneficial. If you are interested in this Power BI Developer role please apply with your most recent CV or reach out on jordan co . uk Power BI Developer (x2) - Contract - 3-6 Month Contract Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Role: Data Platform Analyst Location: REMOTE Working Arrangement: Fully remote, with very occasional travel Salary: £32,500 per annum Do you enjoy working with data, solving problems and making sure information is accurate, reliable and useful? We re looking for a Data Platform Analyst to join an established team and help support the day-to-day running and continued improvement of a cloud-based data platform. You ll work across a range of systems, helping to make sure data moves accurately between CRM platforms, payment systems and the wider data environment. You ll also have the opportunity to work on data extracts, reporting and analysis that support teams across the organisation. A big part of the role will involve using SQL, Python and Snowflake to produce datasets and analytical outputs, as well as maintaining data mappings, transformations and integrations between different business systems. You ll investigate and resolve data quality, reconciliation and integration issues, working with both technical teams and business stakeholders to understand what has gone wrong and put the right fix in place. You ll also support KPI reporting, dashboards and complex data selections, including segmentation and audience analysis. There will be plenty of scope to improve existing processes too, particularly through automation and scripting to reduce manual work. Alongside the technical side, you ll help maintain documentation, process maps and procedures, while supporting good data governance and making sure information is handled in line with organisational policies and GDPR requirements. You ll need experience working with Python and SQL, alongside an understanding of data integration, mapping and transformation. Experience with cloud-based data platforms such as Snowflake, CRM systems and troubleshooting data quality or integration issues would be particularly useful. This would suit someone who enjoys getting into the detail of data but can also explain technical information clearly to people who aren t technical. Attention to detail, good organisation and the ability to manage deadlines are important. If you re looking for a role where you can use your data skills across a varied environment and have a genuine impact on how data is managed and used, please apply now or get in touch to find out more. We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background.

Senior Systems Engineer - Secure Digital Platform (SDP) Data & Integration Location: Reading - 3 days onsite / 2 days remote Rate: 65- 71 per hour, inside IR35 Security Clearance: Active SC Clearance required Nationality: Sole British National required Contract: 6 Months + The Role We are seeking an experienced Senior Systems Engineer to support a secure digital platform within a highly regulated defence and aerospace environment. You will be responsible for the design, implementation, operation, support and continuous improvement of enterprise infrastructure, cloud platforms and hosting services. The role provides technical leadership across hybrid environments, ensuring systems are secure, resilient, scalable and aligned with business and programme objectives . You will work across Microsoft Azure, on-premises infrastructure, virtualisation, storage, networking and container platforms including Kubernetes and Red Hat OpenShift . Working closely with security, architecture, application and service delivery teams, you will support business-critical services while driving automation, modernisation and operational excellence. Key Responsibilities Design, deploy and support enterprise infrastructure across cloud and on-premises environments. Administer and optimise Microsoft Azure services and cloud-native infrastructure. Manage and maintain Windows Server and Linux environments. Deploy, configure and support Kubernetes and OpenShift platforms. Implement Infrastructure as Code (IaC) and automation solutions. Ensure infrastructure meets security, compliance, resilience and availability requirements. Monitor system performance, capacity and operational health. Support backup, disaster recovery and business continuity capabilities. Work with security teams to implement secure-by-design infrastructure solutions. Troubleshoot and resolve complex incidents, problems and technical issues. Maintain technical documentation, standards and operational procedures. Mentor junior engineers and contribute to knowledge sharing. Support infrastructure transformation, cloud migration and technology refresh programmes. Key Objectives Cloud & Infrastructure Engineering Deliver reliable, scalable infrastructure solutions. Support the adoption and governance of cloud services. Maintain high levels of platform availability, performance and resilience. Drive infrastructure modernisation initiatives. Platform & Container Services Design and support Kubernetes and OpenShift hosting platforms. Enable secure deployment of containerised workloads. Improve automation, observability and operational efficiency. Support platform scalability and lifecycle management. Operational Excellence Maintain infrastructure services against agreed service level objectives. Identify and resolve recurring operational issues. Improve monitoring, alerting and performance management. Ensure operational processes follow industry best practice. Automation & Continuous Improvement Promote Infrastructure as Code and automation-first approaches. Develop and maintain automation using scripting and orchestration tools. Reduce manual operational overhead through process improvement. Drive continuous service improvement and innovation. Planning & Technical Assurance Support infrastructure roadmaps and strategic plans. Manage technical risks, dependencies and operational challenges. Participate in capacity planning and technology lifecycle management. Provide technical assurance and delivery confidence across programmes and projects. Escalate issues and risks appropriately. Essential Skills & Experience 5+ years' experience in systems engineering, infrastructure engineering, platform engineering or a similar role. Demonstrable experience delivering infrastructure within defence, aerospace or highly regulated environments . Active SC Clearance . Sole British National . Strong experience administering Microsoft Azure services and infrastructure. Experience supporting hybrid cloud and on-premises environments. Experience working within classified or secure environments. Strong knowledge of Windows Server and Linux operating systems. Experience with enterprise virtualisation platforms such as VMware or Hyper-V. Strong understanding of networking technologies, including TCP/IP, DNS, DHCP, VPNs, load balancing, firewalls and routing. Hands-on experience administering Kubernetes clusters. Practical experience supporting Red Hat OpenShift environments. Experience supporting large-scale enterprise container platforms. Experience with Infrastructure as Code tools such as Terraform, Bicep, ARM Templates or Ansible . Strong scripting and automation skills using PowerShell, Bash, Python or similar . Experience with monitoring, logging and observability platforms. Experience with backup, recovery and disaster recovery solutions. Strong troubleshooting, root cause analysis and problem-solving skills. Excellent communication and stakeholder management skills. Ability to mentor and support junior engineers. Experience working within Agile, DevOps or Platform Engineering environments. Desirable Experience Azure Solutions Architect or Azure Administrator certification. Microsoft Certified: Azure Administrator Associate. Microsoft Certified: Azure Solutions Architect Expert. Certified Kubernetes Administrator (CKA). Red Hat OpenShift Administration certification. VMware VCP certification. ITIL Foundation or equivalent service management certification. Knowledge of Azure Arc and hybrid cloud management technologies. Experience with Software Defined Networking (SDN). Knowledge of Zero Trust Architecture principles. Experience with service mesh technologies such as Istio. Knowledge of cloud cost optimisation and FinOps principles. Experience with edge or distributed computing architectures. Experience supporting infrastructure transformation and cloud migration programmes. Qualifications A Bachelor's degree in Computer Science, Information Technology, Systems Engineering or a related discipline is desirable, alongside significant professional experience in infrastructure, systems, cloud or platform engineering. This is an excellent opportunity for a Senior Systems Engineer with strong Azure, Kubernetes/OpenShift and secure infrastructure experience to work on technically challenging programmes within a critical UK defence and aerospace environment.

DevSecOps Consultant Sheffield (2-days per week onsite) Inside IR35 We're partnering with a leading financial services client to appoint a DevSecOps Consultant to drive secure engineering practices across large-scale, cloud-based platforms. This role is ideal for someone who has come from a hands-on DevSecOps Engineering background and has since transitioned into architecture, design and advisory, while still retaining strong technical depth. We're particularly looking for someone who brings a strong blend of Python development and orchestration experience alongside their DevSecOps expertise. Key Requirements: Proven background in hands-on DevSecOps Engineering, now operating in a design/architecture-focused role Strong Python development experience, with the ability to build automation and orchestration solutions Strong experience with orchestration and workflow automation across engineering, cloud and security platforms Strong experience across both AWS and GCP (essential) Deep understanding of CI/CD pipelines, build tools, artifact repositories, and developer platforms Expertise in secure software delivery, vulnerability management, and platform security Experience with threat modelling, security frameworks, and maturity assessments Strong knowledge of application security, network security, and cloud security principles Excellent stakeholder management and communication skills Desirable: Experience in financial services or regulated environments Knowledge of Kubernetes and container security Familiarity with supply chain security, SBOM, and secure development practices Experience with workflow/orchestration tooling and event-driven automation Relevant certifications (e.g. CISSP, CISM, CCSP) More details available on successful application.

Job title: Lead DevSecOps Engineering Lead (MOD / MODCloud) Rate: 645 per day inside ir35 Location: Remote Contract 6 months+ Active SC security clearance is required for this role We're looking for a Lead DevSecOps Engineer to take a key role on a major UK MOD digital transformation programme, working with a leading technology partner delivering secure digital products into the Defence environment. This is a genuinely high-impact MODCloud role, spanning multiple cloud estates and products across the MOD digital landscape, you'll help engineer and govern will be deployed across the MOD digital estate (MODCloud), including: Microsoft Azure - MODCloud ACE / i-ACE AWS - MODCloud ICE Oracle Cloud Infrastructure - OCI / MODCloud OCE You'll help establish consistent, secure and automated DevSecOps practices across multiple products and engineering teams, embedding security, compliance and automation throughout the software delivery lifecycle. Responsibilities: Lead and embed DevSecOps engineering practices across multiple MOD digital products Design and govern secure CI/CD and GitOps pipelines Integrate security scanning, vulnerability management and compliance controls Drive Infrastructure as Code using Terraform Work across Kubernetes / Docker / AWS EKS Implement secrets, identity and access management using technologies such as HashiCorp Vault Establish observability, monitoring, logging and audit controls Develop secure-by-design engineering practices aligned to MOD security requirements Coordinate DevSecOps engineers, developers, testers and infrastructure teams Create and maintain security processes, technical standards and operational runbooks Support incident response, patching, risk management and compliance activity Expereince required: You'll need strong hands-on experience across: AWS Kubernetes/EKS Terraform GitHub Actions GitOps Argo CD Docker Vault Trivy cert-manager Grafana Loki Python Bash You'll also need: Proven DevSecOps leadership experience UK Government / GDS delivery experience Strong stakeholder and communication skills Experience working across distributed engineering teams If you're an SC-cleared DevSecOps Lead who wants to work on genuinely mission-critical MOD technology, please feel free to submit your CV

Job Title: Snowflake Data Architect - 5 DAYS A WEEK ON-SITE Day Rate: 600- 700 per day Location: Wembley London - 5 days on-site Our client, a well-established and diversified multinational organisation, is seeking a Snowflake / Data Architect to join their team. Skills Solid experience in Data Engineering or Data Architecture, with solid experience in specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands-on experience with dbt (data build tool) or equivalent transformation frameworks. AWS Integration : Solid understanding of AWS IAM, S3 data lake patterns, and PrivateLink for cross-cloud data connectivity. AI Readiness : Practical experience architecting data infrastructure for AI/ML consumption - vector databases, embedding stores, and RAG pipeline integration. Soft Skills: Strong interpersonal skills; ability to translate complex data architecture into clear language for Business Analysts and non-technical stakeholders. Duties Data Modelling Standard: defining Star Schema patterns, Snowflake object hierarchies, and modelling conventions that serve as the Group-wide standard for all data products. Cross-Cloud Orchestration : Design and implement secure, high-throughput data pipelines connecting AWS S3 and Azure APIs through Snowflake - ensuring data integrity, lineage tracking, and end-to-end auditability. Snowflake Governance : Own the full security model for the Snowflake platform - RBAC policy design, dynamic data masking, row-level security, and comprehensive audit logging across all environments. FinOps for Data: Monitor Snowflake credit consumption patterns, identify and remediate high-cost query anti-patterns, and implement warehouse scheduling strategies to reduce operational data spend. AI Readiness: Architect data stores purpose-built for LLM consumption - including vector databases, embedding pipelines, and RAG-compatible data structures that will serve as the foundation for the clients AI product layer. Data Contracts : Partner with Business Analysts to formally define and document 'Data Contracts' between systems - creating clear, agreed interfaces between producers and consumers across the data platform.

Senior / Principal Software Engineer Calibration & Controls Wrexham Permanent An exciting opportunity has arisen for an experienced Embedded Software Engineer to join a market-leading engineering business developing advanced transmission control systems for off-highway vehicles. We're keen to speak with both Senior and Principal level engineers, with the role and package tailored to your experience. The Role You'll join a collaborative Electronics & Controls team, developing embedded software for transmission control systems and supporting products from concept through to validation. Key responsibilities include: Designing and developing embedded software in C. Producing high and low-level software designs from functional requirements. Working within a structured V-model software development process. Supporting verification and validation activities, including automated testing. Carrying out code reviews and ensuring compliance with software quality and functional safety standards. Working closely with multidisciplinary engineering teams throughout the development lifecycle. About You - We're looking for engineers with: Proven experience developing embedded software in C (C++ also beneficial). Experience working on embedded control systems. Knowledge of functional safety and relevant ISO standards. Experience following structured software development processes. Good communication skills and the ability to work effectively within engineering teams. Desirable Experience AUTOSAR (DaVinci, ISOLAR, tresos) Vector tools (CANoe, CANalyzer, CANape) Python scripting for test automation MATLAB/Simulink Static code analysis and software metrics Bootloader development Atlassian tools What's on Offer Competitive salary dependent on experience. Excellent benefits package including strong pension, healthcare and lots of other perks. Career progression opportunities. Opportunity to work on innovative embedded control technology within a highly respected engineering environment. Interested? If you're an experienced Embedded Software Engineer looking for your next challenge, we'd love to hear from you Please note - Sponsorship is not available Your CV will be forwarded to Jonathan Lee Recruitment, a leading engineering and manufacturing recruitment consultancy established in 1978. The services advertised by Jonathan Lee Recruitment are those of an Employment Agency. In order for your CV to be processed effectively, please ensure your name, email address, phone number and location (post code OR town OR county, as a minimum) are included.

Principal System Test Engineer Southampton Hybrid Working Competitive Salary + Bonus + Benefits Not all test roles are created equal. Some involve executing test plans that somebody else has written. This isn't one of them. We're working with a company developing advanced 5G and satellite communications technology. They're looking for a Principal System Test Engineer who can bridge the gap between specification, system architecture and real-world performance. You'll be the person asking: "How should this system behave?" not simply: "Did it pass the test?" Working closely with development, architecture and product teams, you'll define test strategies, develop automated test capability and help ensure complex wireless systems perform as expected in real-world environments. The Opportunity Define and implement system-level test strategies for advanced wireless communications products. Develop Python-based automated test frameworks and test capability. Work with RF equipment and wireless systems to investigate performance, diagnose issues and validate behaviour. Collaborate with engineers, architects and customers to translate requirements into meaningful test coverage. What We're Looking For Strong understanding of wireless communications systems, ideally within 4G, 5G, NTN or related technologies. Experience interpreting specifications and translating requirements into practical test methodologies. Python development skills and experience building automated test solutions. Confidence working with RF test equipment and analysing system performance. You'll Likely Enjoy This Role If You like understanding how systems work, not just whether they work. You enjoy solving technical problems using data, measurements and analysis. You're comfortable working across software, hardware and RF domains. You prefer being involved in defining the test approach rather than simply executing it. Experience with 3GPP technologies, RF system testing, satellite communications, CI/CD, hardware-in-the-loop environments or wireless infrastructure products would be advantageous. This role would suit someone who enjoys combining systems thinking, wireless communications and software engineering to solve difficult technical problems. About Yoh Yoh are a global talent and outsourcing specialist, partnering with businesses ranging from innovative start-ups through to some of the world's largest technology organisations.

Cloud Infrastructure Engineer (AWS) Are you an AWS expert who thrives on building secure, scalable, and highly available cloud environments? We're working with a leading technology organisation that is investing heavily in its cloud capabilities and is looking for an experienced Cloud Infrastructure Engineer (AWS) to play a key role in shaping and managing its cloud platform. This is an exciting opportunity to join a collaborative, forward-thinking technology team where you'll have real influence on cloud strategy, architecture, automation, and optimisation. With a mix of project delivery, platform improvement, and operational support, you'll be at the heart of driving cloud innovation across the business. The Role As a Cloud Infrastructure Engineer, you'll be responsible for designing, implementing, and supporting AWS infrastructure that underpins critical business services. You'll work closely with internal technology teams to ensure cloud environments remain secure, resilient, cost-effective, and aligned with business objectives. This role offers the chance to work on a broad range of cloud initiatives, from infrastructure automation and migration projects to governance, security, and continuous improvement. Key Responsibilities Design, deploy, and maintain AWS cloud infrastructure using services such as EC2, S3, RDS, VPC, IAM, and Lambda. Optimise cloud environments for performance, availability, security, and cost efficiency. Develop and maintain Infrastructure as Code (IaC) solutions using tools such as Terraform and CloudFormation. Support cloud migration and transformation projects. Implement and maintain cloud governance, security controls, and compliance standards. Monitor cloud services and proactively investigate incidents and performance issues. Create and maintain technical documentation, architecture diagrams, and operational procedures. Act as a senior technical escalation point for AWS-related issues. Collaborate with infrastructure, security, and application teams to deliver robust cloud solutions. Evaluate new AWS services and technologies, recommending improvements where appropriate. About You You'll be an experienced cloud professional with strong AWS expertise and a passion for delivering high-quality infrastructure solutions. Essential Experience Proven experience designing, implementing, and managing AWS environments. Strong knowledge of AWS services including EC2, S3, RDS, VPC, IAM, and CloudWatch. Hands-on experience with Infrastructure as Code tools such as Terraform and/or CloudFormation. Strong scripting and automation skills (Python, Bash, AWS CLI). Good understanding of cloud security, identity management, and compliance best practices. Excellent troubleshooting, analytical, and problem-solving skills. Desirable Experience Experience with container technologies including Docker, ECS, or EKS. Knowledge of CI/CD pipelines and DevOps methodologies. Familiarity with monitoring and logging platforms. Experience supporting hybrid cloud environments and cloud migration initiatives. Understanding of ITIL-based service management practices. Exposure to AWS cost management and optimisation strategies. Apply Now If you're passionate about AWS cloud engineering and want to join a business where your expertise will help shape the future of its cloud platform, we'd love to hear from you. Apply today to find out more about this exciting opportunity. 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.

Software Engineer x2 Rate - 750 - 830 Location - London 2/3 days on site Until end of July 2027 About the Role To strengthen our AI for Science (AI4S) team, we are looking for Software Engineers with a track record in developing production-grade, data-driven software solutions. You will design, build and operate the scalable cloud infrastructure and services - including the serving of our models - that our AI systems and agentic applications run on, and you will be accountable for keeping them reliable in production. This is hands-on software and platform engineering: building robust, well-tested, high-performance systems that scientists across the client nd on every day, on modern cloud technology and the vast biomedical data sources available to us. In this role you will Design, build and operate scalable infrastructure and services that support our AI models and agentic systems across the entire software development life cycle. Own the reliability of what you build - set up CI/CD and release processes, automated testing, monitoring and alerting, and lead the response when things break, so the systems scientists rely on stay dependable. Build and operate the model-serving infrastructure that exposes our models in production with efficient use of compute. Develop and maintain cloud-native architectures that enable reliable deployment and scaling of AI/ML workloads. Deliver robust, tested and high-performance code in an agile environment, and work closely with ML engineers and domain experts to make the infrastructure fit for purpose. Qualifications & Skills Demonstrated advanced programming expertise in Python and in developing and delivering robust, scalable software solutions using frameworks like FastAPI. Experience with cloud platforms (GCP, Azure) and cloud-native architectures. Passion for software design and commitment to the development of reusable, scalable, and testable software components. Basic understanding of at least one major deep learning framework (PyTorch, JAX, TensorFlow). Hands-on experience with Google Cloud Platform, in particular the services we build on: Cloud Run, Google Kubernetes Engine, Cloud Storage, Artifact Registry, Cloud SQL. Fluency in English. Preferred Qualifications & Skills If you have the following characteristics, it would be a plus: Familiarity with machine learning principles and state-of-the-art modelling approaches. Experience in design, development and deployment of commercial cloud-native software and infrastructure. Experience building and deploying large-scale AI models and agentic systems in production environments. Experience architecting, developing, and deploying distributed training pipelines for large models with PyTorch or TensorFlow. Expertise in performance optimization, cost optimization, and efficient compute resource management in cloud environments. Experience running production services at scale, including defining and working to service-level objectives (SLOs/SLIs). Experience with incident response and post-incident review, and with building the observability that supports it. Infrastructure-as-code (e.g. Terraform) for provisioning and maintaining cloud environments. Experience developing and administering workloads on Kubernetes (e.g. GKE). Familiarity with GCP networking and security controls - VPC, VPC Service Controls (VPC-SC), and private connectivity. Contributions to relevant open-source projects. Knowledge or interest in disease biology, molecular biology and medicine. Experience working with biomedical data (e.g., genomics, transcriptomics, proteomics, electronic health records, clinical images). If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.