161 jobs found

Senior Backend Python Developer 6-Month contract - Inside IR35 - up to £450 per day Leeds based - hybrid working - 3 days onsite Responsibilities Build and maintain backend services and APIs in line with existing architectural patterns and standards. Implement business logic, data access layers, and integrations with internal and external systems. Develop and enhance RESTful APIs, following defined contracts and API standards. Write clean, maintainable, well-tested code, adhering to agreed engineering best practices. Contribute unit and integration tests to ensure functional correctness and regression safety. Support feature delivery by implementing backend components from pre-defined designs and tickets. Participate in code reviews, addressing feedback and continuously improving code quality. Troubleshoot backend issues using logs and diagnostics, escalating complex design concerns to onshore leads. Work within an Agile/Scrum team, contributing to sprint delivery and estimations for assigned work. Follow established security, performance, and reliability guidelines when implementing backend changes. Skills & Experience Core backend engineering 3-6+ years of backend development experience. Strong experience with Python or equivalent backend frameworks. Solid understanding of REST API development, request/response models, and error handling. Experience working in microservices-based architectures. Cloud & infrastructure awareness Hands-on experience deploying or running services on GCP or another hyperscaler. Familiarity with managed databases (e.g. Cloud SQL, PostgreSQL). Understanding of containerised workloads (Docker) and serverless/container platforms (e.g. Cloud Run or Kubernetes). Data & integration Strong SQL skills, including schema usage, query optimisation, and data consistency. Experience integrating with external systems via APIs or messaging. Awareness of data validation, idempotency, and failure handling patterns. Quality & delivery Experience writing unit and integration tests for backend services. Familiarity with CI/CD pipelines and version control (Git-based workflows). Comfortable working from clear requirements, tickets, and technical guidance provided by onshore leads. Ways of working Experience working as part of a distributed or offshore delivery team. Able to communicate progress, blockers, and risks clearly to onshore counterparts. Willingness to follow established standards rather than redefine architecture. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Databricks Data Engineer Salary: £40K - £50K Location: Manchester Role Overview: Our client is seeking a Data Engineer to support the development, optimisation and ongoing improvement of a modern cloud-based data platform. This role would suit someone with strong hands-on Databricks experience who enjoys building reliable data pipelines, improving how data flows through the business, and creating trusted datasets for reporting and analytics. You will work across technical and non-technical teams, helping turn data requirements into scalable solutions that are accurate, maintainable and easy for the business to use. Key Responsibilities: Build, enhance and maintain data pipelines within a Databricks environment. Use Spark, SQL and Python or Scala to support data transformation and automation. Develop structured data layers to support reporting, analytics and wider business use. Extract, ingest and integrate data from APIs, databases and other source systems. Build controls that help identify, investigate and resolve data issues before they affect reporting. Monitor data workflows and troubleshoot failures, performance issues and reliability problems. Work with BI and reporting teams to create clean, usable datasets for business consumption. Maintain clear technical documentation and support good practice around data structure, ownership and access. Support secure and appropriate use of data across the platform. Identify opportunities to simplify, automate and improve data engineering processes. What We're Looking For: Experience working as a Data Engineer within a modern cloud data environment. Strong hands-on experience with Databricks and Apache Spark. Experience building structured data layers, ideally within a Bronze, Silver and Gold architecture. Strong SQL skills for transformation, validation and analysis. Python or Scala experience for data engineering, automation or scripting. Experience ingesting and integrating data from APIs and source systems. Good understanding of data reliability, controls and issue resolution. Experience working with cloud data services such as Azure, AWS or GCP. Exposure to lakehouse technologies, workflow scheduling or reporting platforms would be beneficial. Strong communication skills, with the ability to work across technical teams and business users. Why Consider This Role? This is a strong opportunity for a Data Engineer who wants to take ownership of a business-critical data platform and play a key role in improving data quality, structure and reporting capability. You'll be joining an environment where data is central to decision-making, with the chance to improve pipelines, strengthen controls and help shape scalable data solutions that support long-term business growth. The role offers exposure to Databricks, cloud data engineering, structured data architecture, data improvement work and analytics-focused transformation within a hybrid Manchester-based environment. 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.

Associate Consultant - Secure Cloud / GCP / GDC DevSecOps Join RT Consulting's Associate Consulting workforce Who we are RT Consulting are a trusted management consultancy and service provider. We are proud to hold the Gold Award under the Armed Forces Employer Recognition Scheme. RT are a member of the Government Digital Sustainability Alliance, bringing government, industry, and academia together to improve digital sustainability outcomes for the UK government and its supply chain We deliver highly capable and effective value for money solutions to our clients as the 'customer friend' and trusted partner across Defence, Policing, Central and Local Government. We deploy consultants who ensure alignment with Government policy, stakeholder expectations, and long-term impact goals. We specialise in the delivery of Cloud & Digital Infrastructure services , including multi-cloud engineering (AWS, Azure, GCP), secure cloud platforms, DevSecOps and automation, Site Reliability Engineering, digital workplace technologies, and resilient, scalable infrastructure operations across complex and regulated environments. Your Invitation: We invite you to join our Cloud & Digital Infrastructure consulting team , where we can align you to current and upcoming demand across cloud engineering, secure platform engineering, DevSecOps/SRE, and modern infrastructure transformation. We are particularly building capability in: Google Cloud Platform (GCP) Google Distributed Cloud (GDC) / air-gapped deployments Secure-by-design cloud engineering for Defence and high-assurance environments Kubernetes, containerisation, and Infrastructure-as-Code (Terraform) This includes supporting surge activity for our defence partners delivering secure cloud services into secure environments. Engagement expectations Vetting: Due to the regulated nature of our work and our significant defence portfolio, a minimum of active SC clearance is required. DV-cleared professionals are also in high demand for secure, air-gapped GDC programmes. Working pattern: Projects typically require 2-3 days per week on-site at Southwest client locations including, Corsham & Bristol, with hybrid flexibility where permitted. Fees: Rates are aligned to engagement scope and seniority. What you'll get You join a community of specialists across Defence, Government, Policing and wider Public Sector programmes, where knowledge sharing, peer support and professional connection are part of the culture. Priority access to new consultancy opportunities, including secure GCP/GDC, DevSecOps and platform engineering workstreams. Dedicated relationship support, Ongoing contact with a Relationship Manager who provides guidance, check-ins and forward planning to help minimise gaps between assignments. An invitation to Society events, meetups and community touchpoints, we aim to ensure you feel supported, valued and engaged throughout your consultancy journey. A consultancy environment that reflects our Group Values - Integrity & Respect, Accountability, Collaboration, High Performance, Innovation, Agility, Client Centricity & People Focused. Who you are An experienced Cloud / Platform Engineering professional with capability in one or more of the following: Google Cloud Platform (GCP) or Google Distributed Cloud (GDC) DevOps, DevSecOps or Site Reliability Engineering (SRE) Platform Engineering and secure cloud design Kubernetes and container platforms (GKE / secure clusters) Infrastructure-as-Code (Terraform) Secure cloud operations (IAM, RBAC, networking, secrets management) You are comfortable working within secure, regulated environments and collaborating directly with users and stakeholders to deliver cloud capability at pace. You will need to be well versed in the direction of travel from Government, focused on digital transformation to enhance public services, improve efficiency, and meet the evolving expectations of its citizens. This shift involves modernising outdated systems, leveraging data effectively, and adopting new technologies like Artificial Intelligence (AI). The goal is a more agile, responsive, and citizen-centric government. You are comfortable operating in high-assurance, regulated environments, capable of working independently within secure delivery teams, and adept at designing, deploying and maintaining secure, modern cloud platforms. How to express interest Contact us to arrange a confidential conversation.

Senior Data Engineer London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 70,000 to 80,000 dependent on experience Ref J13073 A fast-growing AI SaaS company is looking for a Senior Data Engineer to play a key role in building the data foundations behind its analytics and AI products. Working with complex, high-volume datasets, you will design and optimise the pipelines, models and data layers that power customer-facing solutions and machine learning applications. The Opportunity You will design, build and maintain scalable data pipelines that support a fast moving AI platform, working closely with product, analytics and machine learning teams to ensure data is accurate, accessible and trusted. You will be working with large volumes of imperfect and inconsistent data, solving complex challenges and improving data quality as the platform scales. The environment is modern and cloud based, with exposure to technologies such as Spark, Snowflake and BigQuery across AWS, GCP and Azure. You will have the opportunity to support and mentor other engineers, contribute to engineering standards and play an active role in shaping how the team works. The team is collaborative, supportive and values different perspectives. Engineers are encouraged to contribute ideas, challenge thinking and have a genuine impact on the direction of the platform. Key Responsibilities Design, build and maintain scalable data pipelines Own data pipelines from source through to production Work with complex and evolving datasets to create reliable outputs Improve data quality, performance and reliability as the platform grows Collaborate with product, analytics and machine learning teams Contribute to code reviews and engineering best practice Support and mentor other engineers What We Are Looking For Proven Python and SQL experience within production environments Experience delivering data transformation projects end to end Experience with Spark, Snowflake, BigQuery or similar technologies Solid experience working with AWS, GCP or Azure Comfortable working with complex, imperfect datasets Experience owning solutions from design through to deployment A collaborative approach and willingness to support others If you enjoy building the data foundations behind AI products and want to join a team where your ideas and contributions will be valued, this could be a great fit. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity. Alternatively, you can refer a friend or colleague by taking part in our referral scheme. For each relevant candidate you introduce and we place, you will be entitled to our reward scheme. Datatech is one of the UK's leading recruitment agencies in analytics and the host of Women in Data. For more information, visit (url removed)

Prestigious opportunity for a talented and experienced Senior Java Developer to join a fast growing technology and transformation team delivering innovative, large-scale engineering solutions.This role sits at the intersection of technology, data, and AI, working on some of the UK's most ambitious digital programmes. You'll play a key role in designing and building modern, scalable applications that help organisations make smarter, data driven decisions.Collaborating within mature, cross-functional teams, working alongside engineers, architects, and business stakeholders to create impactful, future ready solutions. Key Responsibilities Design, develop, and maintain high-quality Java based applications Contribute across the full software development lifecycle Provide technical input into architecture and system design Build secure, scalable RESTful APIs Collaborate with engineers, product teams, and stakeholders to deliver solutions Write clean, maintainable, and well documented code Troubleshoot and resolve complex production issues Continuously improve system performance, reliability, and security Stay up to date with emerging technologies and best practices If you possess a combination of some of the following skills, then LET'S TALK! Strong experience in Java development (plus exposure to Kotlin or Scala) Deep understanding of OOP principles, SOLID design, and design patterns Hands on experience with Spring Framework (Spring Boot, Spring MVC) Experience designing and securing RESTful APIs Experience with containerisation (Docker, Kubernetes) Familiarity with CI/CD tools (Jenkins, GitHub Actions, Bit bucket Pipelines) Strong experience with Git and version control strategies Experience working with cloud platforms (AWS, Azure, or GCP) Ability to monitor, diagnose, and improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: - Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test tools (Postman, Selenium, Axe) Exposure to AI-assisted development tools (e.g., GitHub Copilot) In return, you will be rewarded with a market leading benefits package and ongoing career development in a flexible, hybrid working environment. What you need to do now 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)

Data Engineer SQL London Location London, Hybrid, 3 days in the office each week (Monday, Tuesday and Wednesday) Salary 45,000 to 50,000 dependent on experience Ref J13133 We are looking for a Data Engineer to join an AI-first SaaS business developing next-generation analytics and decision intelligence products. Working alongside Product Managers, AI Engineers and Analysts, you will help build the data platforms, pipelines and models that power production AI solutions used by organisations across multiple sectors. What You'll Be Doing Building and maintaining data pipelines using SQL and Python Developing data models for analytics and AI applications Working with cloud platforms including Azure, AWS or GCP Supporting CI/CD processes and automated deployments Implementing data quality, monitoring and validation processes Collaborating with Product, Engineering and AI teams on new product development What We're Looking For Commercial Data Engineering experience Strong SQL skills Python experience Exposure to Azure, AWS or GCP Understanding of data modelling and data warehousing principles Experience working with Git and CI/CD processes Strong communication skills and a collaborative mindset Nice to Have SaaS or product development experience Exposure to AI or machine learning environments Experience with Databricks, Fabric or modern cloud data platforms The Opportunity Work on AI-powered products rather than internal reporting Join a collaborative product engineering team Exposure to modern cloud and AI technologies Opportunity to influence products used by real customers Excellent environment for learning and development For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

Prestigious opportunity for a talented and experienced Platform Engineer to join a rapidly growing digital engineering team delivering cutting edge solutions across a diverse portfolio of clients.This is hands on applying your deep engineering and architectural expertise to design, build, and evolve scalable platform solutions that drive digital transformation within some of the UK's most exciting organisations. Collaborating closely with highly skilled, cross functional teams, you will work alongside engineers, architects, and product specialists to push boundaries and deliver impactful, high quality outcomes. Key responsibilities: Design, build, and maintain robust cloud platforms and CI/CD pipelines Contribute across the full software development lifecycle Provide technical leadership and input into system and architecture design Collaborate with cross functional teams to deliver scalable, reliable solutions. Write clean, well documented code and contribute to technical documentation Proactively monitor, troubleshoot, and resolve production issues Continuously improve platform performance, security, and reliability Stay current with emerging technologies and drive innovation and adoption Communicate complex technical ideas to both technical and non-technical stakeholders If you possess a combination of some of the following skills, then LET'S TALK! Strong experience designing and managing cloud native platforms on Google Cloud Platform (GCP) Hands-on expertise with services such as: Compute Engine, GKE (Kubernetes), Cloud Storage VPC networking, IAM, Cloud Functions Proven experience with Infrastructure as Code (e.g., Terraform) Strong background in CI/CD pipeline design (e.g., Jenkins, GitLab CI, Cloud Build) Proficiency in scripting/programming (e.g., Python, Bash, Go) Experience with containerisation & orchestration (Docker, Kubernetes) Solid understanding of cloud networking, security, and identity management Experience with monitoring & observability tools (Prometheus, Grafana, ELK, or similar) Strong Git/version control experience Exposure to the following skills is advantageous but not essential: - Experience with multi-cloud or hybrid cloud environments (AWS, Azure, on-premise). Exposure to service mesh technologies (e.g., Istio, Linkerd) and configuration management tools (e.g., Chef, Puppet). Knowledge of site reliability engineering (SRE) principles and practices. Familiarity with GCP AI/ML services (AI Platform, AutoML). In return, you will be rewarded with ongoing career development and a market leading benefits package in a flexible, hybrid working environment. What you need to do now 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)

Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Our client is looking for a Cyber Analytics Data Engineer to join a specialist team delivering advanced analytics solutions within a cybersecurity environment. This role is ideal for someone who combines strong engineering capability with a solid understanding of the cyber domain. Key skills required: Strong Python development experience Databricks and PySpark expertise Experience with cloud-based data platforms (AWS, Azure and/or GCP) Data Engineering and analytics at scale Apache Spark ecosystems Cyber Security or Security Analytics experience CI/CD and automated deployment practices Strong stakeholder engagement and communication skills You will play a key role in supproting junior team members too, whilst collaborating with a range of cyber functions. If this sounds of interest, apply now! Cyber Analytics Data Engineer £500-£560p/day (Inside IR35) 6 months initially Manchester (Hybrid) Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

AI Software Engineer, Firebase, GCP, COR7557D An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,

AI Software Engineer, Firebase, GCP, COR7557C An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,

AI Software Engineer, Firebase, GCP, COR7557E An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,

Data Team Lead Regulatory Reporting Location: Manchester or Stoke-on-Trent (Hybrid 2 days per week onsite) Type: Full-time Permanent About the Role We are seeking a Data Team Lead to take ownership of a team delivering regulatory reporting solutions within a high-scale, highly regulated environment. This role is primarily focused on leadership, delivery oversight, and stakeholder engagement rather than hands-on development. You will be responsible for ensuring the team delivers high-quality solutions that meet strict regulatory requirements while maintaining strong standards of design, performance, and reliability. Key Responsibilities Lead and manage a cross-functional, geographically distributed data team Own the end-to-end delivery of regulatory reporting solutions Ensure outputs meet governance standards and regulatory requirements Act as the primary interface between technology, finance, and compliance stakeholders Drive team performance through mentoring, coaching, and development Manage risks, dependencies, and delivery timelines Identify and implement improvements to processes, ways of working, and delivery efficiency Provide regular updates to leadership and escalate risks where necessary Requirements Leadership and Delivery Proven experience leading and developing data or engineering teams Strong track record of owning delivery in fast-paced environments Excellent stakeholder management and cross-functional collaboration skills Ability to prioritise effectively and manage competing demands Technical Understanding Strong understanding of GCP and BigQuery environments Solid knowledge of SQL and commercial database development Awareness of cloud-based architectures and data/reporting systems (This is not a hands-on role, but requires sufficient technical depth to guide teams and review solutions.) Desirable Experience Experience within regulated environments such as gambling, finance, or similar Exposure to high-throughput or large-scale data platforms Familiarity with API integrations (REST or SOAP) Experience supporting the use of AI tools within delivery teams Why Join Lead delivery of business-critical regulatory systems Work within a large-scale, performance-driven environment Play a key role in shaping team delivery and best practices Hybrid working model (2 days onsite per week) with strong long-term career progression Apply If you are a leadership-focused data professional who enjoys driving delivery and improving team performance in complex environments, we would like to hear from you.

Senior AI Engineer - Consulting Office location to choose from: Glasgow, London or Manchester Hybrid Working - 1-2 days per week in the office 70,000 + Benefits, Training & Bonus Package Full Time Permanent Deerfoot Recruitment is supporting a leading global consultancy in the search for an AI Engineering Consultant / Senior Consultant to join its growing Data & AI practice. This is an exciting opportunity for an experienced AI professional to help organisations design, build and scale enterprise-grade AI, Machine Learning and Generative AI solutions. The successful candidate will play a key role in bridging the gap between AI experimentation and real-world business adoption, delivering robust, scalable and responsible AI solutions across a range of high-profile client engagements. Key responsibilities will include: Designing and implementing end-to-end AI/ML solutions from development through to deployment and monitoring Building scalable Generative AI and Agentic AI solutions, including RAG pipelines and orchestration frameworks Implementing MLOps frameworks, governance and best practices Translating business requirements into cloud-native AI and data architectures across Azure, AWS and GCP Collaborating with technical and non-technical stakeholders to deliver measurable business value Supporting innovation initiatives, reusable assets, thought leadership and client proposals Candidates should have strong experience in AI Engineering, MLOps and cloud-native AI platforms, alongside hands-on knowledge of technologies such as LangChain, LlamaIndex, MLflow, Kubernetes, Docker and CI/CD tooling. Applicants will ideally demonstrate: Experience working in a major Consulting firm, and/or in industry A strong consulting mindset with experience engaging senior stakeholders Proven experience designing and delivering AI/ML solutions at scale Strong understanding of Generative AI, Agentic AI and modern AI engineering frameworks Experience with at least one major cloud platform including Azure, AWS or GCP You need to have resided in the UK for the last 5 years to be able to apply for this role. This is an excellent opportunity to join a forward-thinking consultancy delivering innovative AI solutions for major enterprise clients, while benefiting from strong career progression, flexible hybrid working and an excellent package. Senior AI Engineer / AI Engineering Consultant / Generative AI Consultant / Senior Machine Learning Engineer / AI & ML Consultant / MLOps Engineer / LLM Engineer / AI Engineering Consultant / Senior AI Engineer / Generative AI Engineer / AI Solutions Architect / Data & AI Consultant / AI Solutions Consultant / Cloud AI Engineer / Applied AI Engineer Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Integration Lead - Secure Digital Platform 6-Month contract - Inside IR35 - market rate Reading based - 5 days a week onsite Defence sector - need to be eligible for SC Clearance - current and active SC Cleared already is strongly preferred Role Description The Integration Lead is responsible for leading the technical design, development, and delivery of secure, scalable, and reusable foundational technology services within the Secure Digital Platform. The Integration Lead partners with Delivery Leads, product owners and architects, to lead and manage the technical implementation of platform capabilities and enterprise services to the roadmap planned for each platform. The Integration Lead acts as a hands-on technical leader and subject matter expert, ensuring engineering excellence, operational integrity, and alignment of delivery with enterprise architectural direction and business objectives. Key Responsibilities Provide delivery leadership across the Engineering, Agile team and Test teams to build and maintain reusable and secure platform services aligned with the organisation's technology strategy. Work with the Delivery leads to understand the roadmap of work Work closely with Product Owners / Architects to implement and test the capabilities within the platforms Drive high-quality software engineering practices across the team, including code reviews, test automation, CI/CD pipelines, performance monitoring, and observability. Ensure delivered solutions align with solution designs and security guardrails. Guide teams in the selection and use of modern tools, frameworks, and platforms that optimise development efficiency and operational effectiveness for delivery. Support the development and evolution of the Secure Digital Platform roadmap by identifying technical dependencies, enablers, and delivery risks. Partner with the wider Secure Digital Platform team to establish and enforce standards for infrastructure-as-code, API development, cloud-native services, and integration. Collaborate with cybersecurity, operations, and compliance teams to ensure secure design and adherence to internal and external policies. Act as a technical escalation point for complex engineering issues and support the Engineering, Agile and Test leads to develop and row technical capability within the teams. Contribute to the preparation of delivery-related artefacts such as technical documentation, support handovers, and implementation Runbook. Foster a culture of continuous improvement, experimentation, and feedback within engineering teams. Skills and Experience Essential 5+ years of experience in technical leadership roles within software engineering, infrastructure, or platform development teams Proven experience delivering secure, scalable technology services or platforms in complex enterprise environment Hands-on experience with cloud platforms (e.g., AWS, Azure, GCP), container orchestration, and infrastructure automation (e.g., Terraform, Ansible) Strong understanding of DevSecOps principles, CI/CD pipelines, test automation, and observability tooling Familiarity with platform and product-centric delivery models and agile frameworks (e.g., Scrum, SAFe) Excellent communication and stakeholder management skills across technical and non-technical audiences Strong problem-solving skills and ability to make pragmatic decisions under ambiguity or time constraints Commitment to fostering engineering culture, mentoring others, and growing internal technical capability High ethical standards when handling confidential information Desirable Experience with platform engineering, internal developer platforms (IDPs), or technical enablement teams Experience in a highly regulated industry (e.g., Aerospace & Defence, Finance, Critical Infrastructure) Exposure to secure coding practices, threat modelling, and secure-by-design approaches Experience leading hybrid delivery teams (e.g., internal and external/partner teams) Familiarity with ITSM and incident/problem/change/ management in an enterprise context Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Job Title: Technical Delivery Lead - Data Engineering Lead (Hands-on Python / Databricks) Contract: 6 months - Potentially extension. Location: London Hybrid (5 days in 10 in the office) Rate: Highly competitive Status: Inside IR35 Working pattern: Full time We are seeking an experienced Technical Delivery Lead with strong expertise in Python, Databricks, and Apache Spark to lead the successful delivery of enterprise-scale data engineering initiatives This is a hands-on leadership role combining technical delivery, solution design, and data engineering expertise. The successful candidate will lead the delivery of a greenfield data platform while remaining actively involved in development activities. Essential Skills Proven experience in Data Engineering or Software Engineering. Previous experience in a Technical Lead, Lead Data Engineer, or Technical Delivery Lead position. Strong hands-on expertise with Python. Extensive experience with Databricks, including Workflows, Notebooks, and Delta Lake. Strong experience with Apache Spark /PySpark. Proven track record building and optimising large-scale ETL/ELT pipelines. Strong understanding of modern data architecture and Lakehouse principles. Excellent SQL skills and experience working with distributed data systems. Experience working with cloud platforms such as AWS, Azure, or GCP. Strong Agile delivery experience. Experience leading technical teams and delivering complex projects. Expected split: 30-50% hands-on coding + technical problem-solving Key Responsibilities Lead end-to-end delivery of data engineering solutions. Design and build scalable data pipelines using Databricks and Azure. Develop and optimise solutions using Python and PySpark. Drive engineering best practices, code reviews, and technical standards. Work closely with architecture, business, and technology stakeholders. Mentor and support engineers within the team. Contribute to data platform and Lakehouse architecture decisions. What We're Looking For Approximately 60% hands-on engineering and 40% technical leadership. Proven experience leading data engineering teams. Strong stakeholder management and communication skills. Experience delivering greenfield data platform initiatives. This is an excellent opportunity to join a high-profile programme with significant scope for extension and future team growth. Why Join Us? Work on innovative projects that make a difference in the financial sector. Collaborate with a talented team in a vibrant environment. Enjoy a competitive daily rate and flexible working arrangements. If you are ready to take your career to the next level and contribute to exciting projects, apply now! We can't wait to meet you! Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.

Chief Technology & Operations Officer (CTOO) / Technology & Operations Director Location: Coventry (Hybrid) Salary: 80,000- 100,000 DOE Please note: Sponsorship is not available for this position. Join a Growing Technology Business Where You Can Truly Make an Impact We're partnering with an ambitious and growing technology company looking for a commercially minded, hands-on technology leader to take ownership of both software delivery and IT operations across the business. This is a rare opportunity to join a smaller organisation where your influence will genuinely shape the future direction of technology, operations, delivery, and customer outcomes. You'll work closely with the executive team, helping drive strategic decisions while remaining close enough to the technology to guide teams, solve problems, and improve delivery standards. We're looking for someone who enjoys building structure in fast-paced environments, thrives on solving operational challenges, and still has the technical depth to engage with engineering teams and architecture decisions when required. The Role As CTOO / Technology & Operations Director, you'll oversee the operational effectiveness of software development, infrastructure, and technical services across the organisation's application estate. You'll act as the bridge between commercial teams, customers, developers, and IT services - ensuring priorities are aligned, delivery remains controlled, and systems stay secure, stable, and scalable. This role combines strategic leadership with practical execution. You'll be expected to roll your sleeves up when needed, support critical decision-making, and help teams deliver effectively with limited resources. Key Responsibilities Technology & Operational Leadership Lead the development and IT services functions across the business Ensure applications and platforms are delivered, maintained, and supported effectively Drive operational stability, resilience, and continuous improvement Balance long-term strategy with day-to-day execution Hands-On Technical Leadership Provide guidance across software delivery, infrastructure, DevOps, and architecture Support teams with technical decision-making and delivery planning Maintain oversight of cloud infrastructure, databases, environments, and security controls Act as a senior escalation point during incidents or critical operational issues Executive Delivery & Prioritisation Translate executive and customer requirements into achievable delivery plans Manage competing priorities across development and IT operations Clearly communicate risks, trade-offs, and delivery expectations Cross-Functional Collaboration Work closely with sales, commercial, product, and operational teams Support customer-facing technical discussions and solution planning Improve collaboration between technical and non-technical stakeholders Governance, Security & Compliance Ensure strong governance, policies, and operational procedures are in place Support ISO9001 / ISO27001 aligned processes and customer audit requirements Maintain focus on GDPR, cybersecurity, resilience, and risk management What We're Looking For Essential Experience Proven leadership across software engineering and IT operations/infrastructure Experience working in smaller or growing businesses where adaptability is key Strong hands-on technical understanding with the ability to engage at engineering level Experience managing software delivery, technical operations, and cross-functional teams Strong understanding of Agile delivery, DevOps, CI/CD, and modern software practices Experience with cloud platforms such as AWS, Azure, or GCP Knowledge of databases including MS SQL and/or Oracle Experience managing incidents, operational risk, and technical escalations Desirable Background Computer Science, Engineering, or similar technical background Experience with architecture or solution design Exposure to sectors such as Construction, Utilities, Retail, Logistics, Manufacturing, Insurance, or B2B technology services Personal Attributes Commercially aware and pragmatic Calm under pressure with strong problem-solving ability Comfortable making decisions and driving accountability Able to communicate effectively with both technical teams and senior stakeholders Hands-on, approachable, and delivery focused What Success Looks Like Within your first 6-12 months, you'll have: Improved operational stability and delivery visibility Established clearer prioritisation across development and IT services Strengthened collaboration between technical and commercial teams Improved governance, documentation, and compliance readiness Built empowered teams with strong accountability and ownership Package 80,000- 100,000 salary depending on experience Hybrid working model Opportunity to shape technology strategy within a growing business High level of ownership and autonomy Collaborative and fast-moving environment where your contribution matters

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

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

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

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