1022 jobs found

Data Scientist - Optimisation & Operations Research North West London (Hybrid, 3 days on-site) 550 - 750 /day The Opportunity We're recruiting on behalf of a globally recognised organisation undergoing a major transformation in how it uses data to drive operational decisions. This is a rare chance to work on genuinely complex, high-impact decision-support software - embedding cutting-edge optimisation and machine learning directly into live operations. You'll join a high-performing, Agile product squad as a full-stack Data Scientist, sitting at the intersection of data engineering, ML, and operations research. What You'll Be Doing Designing and delivering optimisation and ML models (linear/mixed-integer programming, heuristics, supervised/unsupervised learning) in Python, from prototype to production Building robust, automated data pipelines and integrating models into cloud-based deployment pipelines with CI/CD Owning features end-to-end - from stakeholder requirements through to algorithm hardening, edge-case handling, and value measurement Working with orchestration frameworks (Dagster/Airflow), experiment tracking (MLflow), and containerised infrastructure (Docker/ECS) Collaborating closely with business stakeholders and contributing to roadmap and feature prioritisation What We're Looking For Strong operational research and optimisation background - this is a must Fluent Python, with hands-on experience of scikit-learn, pandas, numpy, Gurobi or similar OR packages Production ML/optimisation software experience - you've shipped models that run at scale Cloud platform experience (AWS preferred); familiarity with SageMaker, DVC, GitHub Actions a bonus Strong SQL and data engineering fundamentals Experience in airline, aviation, transport, or engineering/maintenance environments is highly desirable Master's degree (or equivalent) in Data Science, ML, or Operational Research - or strong demonstrable industry experience

The Opportunity: You ll join an experienced, collaborative consultancy team delivering greenfield, enterprise-scale digital services for high-profile public and private sector clients. This opportunity is ideal for a practical, adaptable Geospatial Full Stack Engineer who enjoys working across disciplines and solving complex problems and challenges that will have a real-world impact. Collaboration sits at the heart of how our client operates, so you ll be partnering closely with colleagues across Software Engineering, User-Centred Design, Delivery Management, Data Science and Live Services to deliver outcomes that genuinely make a difference in today s society. As a consultancy, they are technology-agnostic by design, focusing on choosing the right tools for each problem, rather than forcing one stack everywhere. Their teams regularly work with .NET, Java, Python, Node.js, AWS and Azure, giving you genuine scope to broaden your skills and develop your career across a range of languages and platforms. Many of their projects also involve Geographic Information Systems (GIS) and open-source geospatial technologies, helping clients unlock the value of location-based data through mapping, spatial analysis and data-driven decision making. Skills and Experience: Essential 3+ years experience in a Full Stack Engineering role Strong development skills in .NET, Java or Python, alongside modern JavaScript frameworks/libraries Experience working in Agile environments (Scrum, Kanban, TDD) Solid understanding of architectural and design patterns, including microservices and serverless Hands-on experience designing and delivering solutions on AWS or Azure Experience working with GIS systems or geospatial data, and familiarity with tools such as Leaflet, OpenLayers, QGIS, GeoServer, PostGIS, etc. A collaborative mindset and experience working in multi-disciplinary teams Desirable Experience working in a consultancy environment Exposure to public sector projects Familiarity with CI/CD tooling (e.g. Jenkins, Terraform) Awareness of the Digital Service Standard and Technology Code of Practice, particularly in geospatial or public sector contexts Role and Responsibilities: This is a varied role suited to someone who enjoys the pace, responsibility and collaboration of consultancy. You will be involved with the following types of activity: Design and deliver high-quality solutions: building, enhancing and maintaining software, infrastructure and deployment pipelines that are robust, secure and scalable. Projects may include solutions involving geospatial data, GIS platforms and open-source mapping tools. Work collaboratively across disciplines: partnering with Senior and Lead Engineers, Delivery Managers, Designers and Data Scientists to shape solutions, contribute to technical documentation and deliver against agreed plans. Apply standards and best practice: follow established engineering approaches, contribute accurate technical estimates and proactively identify and escalate risks or issues. Communicate clearly and build relationships: present ideas, prototypes and progress updates to stakeholders, while building strong working relationships with colleagues, clients and partner organisations. Applications: Please contact Edward here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

We are looking for experienced Data Engineers to join a long-standing, high-impact public sector partnership. This isn't just about moving data; it's about modernizing essential services and delivering secure, reliable data products at scale. You will play a pivotal role in shaping engineering design, mentoring talent, and helping our clients reimagine what's possible through technology. Data Engineer (AWS) Location: Telford / Worthing Base Locations (Hybrid 2-3 days onsite) Salary: £55,000 - £70,000 + Bens, Perks, Healthcare Options, Unlimited Training Budget Security Clearance: Must be eligible for SC Clearance (5+ years UK residency) Sector: Public Sector & Government Client Build the Data Infrastructure That Powers the Public Sector We are looking for experienced Data Engineers to join a long-standing, high-impact public sector partnership. This isn't just about moving data; it's about modernizing essential services and delivering secure, reliable data products at scale. You will play a pivotal role in shaping engineering design, mentoring talent, and helping our clients reimagine what's possible through technology. The Role As a Senior member of our engineering team, you will: Design & Implement: Create robust, secure, and performant data integration solutions (both batch and near-real-time). Build & Optimize: Develop and improve end-to-end data pipelines-from ingestion to curation-ensuring high availability through rigorous monitoring and alerting. Collaborate: Work closely with product teams and client stakeholders to align technical decisions with cost, performance, and security requirements. Innovate: Support incident resolution and contribute to our internal Engineering Communities of Practice. Lead: Actively participate in Agile ceremonies and mentor junior colleagues to grow our collective capability. Your skills and experience ? Strong SQL and hands-on experience with data modelling. Hands-on with ETL/ELT tooling (at least one of Talend, Pentaho DI, Informatica, AWS Glue, or SAS). Experience with databases/data platforms (ideally Oracle or Cloudera) Knowledge of cloud platforms ( ideally AWS ) Good experience with programming/scripting languages (e.g. Python, Bash). Strong grasp of data engineering fundamentals, including integration, transformation, orchestration, and version control. Excellent client-facing and consultancy skills. NOTE: This role requires Security Check (SC) clearance . To be eligible, you must have resided continuously in the UK for the last 5 years. Interested? Apply now or send your CV

Senior Data Engineer Hybrid-working (Manchester + Home-based) c£60,000 to £75,000 per year (DOE) Plus an excellent company benefits package (including Private Healthcare, Bonuses, Professional Accreditations and Subscriptions, 25 days Annual Leave + Bank Holidays, etc.) The Opportunity: We are supporting a leading IT Consultancy operating at the forefront of digital services and transformation across the UK public sector are seeking an experienced Senior Data Engineer to play a key role in designing and delivering modern, scalable data platforms that support critical national services. Working within collaborative, multi-disciplinary teams, you will take ownership of end-to-end data engineering delivery across greenfield and transformation initiatives. You will influence technical direction, guide engineering best practice, and support the development of high-quality, robust data services that operate at enterprise scale. You will be consulting across modern cloud ecosystems and data technologies, with opportunities to deepen expertise in Python, SQL, cloud-native data tooling, orchestration platforms and streaming technologies across AWS, Azure and GCP. Skills and Experience: Proven experience delivering production-grade data engineering solutions within complex environments Strong Python skills for building, testing and operating scalable data pipelines Experience working with at least one major cloud platform (AWS, Azure or GCP) Strong SQL expertise and experience working with relational databases such as PostgreSQL or Microsoft SQL Server Experience working with NoSQL technologies such as DynamoDB, MongoDB or similar Hands-on Kafka (or equivalent streaming) and workflow orchestration (Airflow) experience Strong understanding of data architecture patterns including data lakes, warehouses and event-driven architectures Experience of consulting across Agile delivery environments, implementing data quality, validation and monitoring frameworks Role and Responsibilities: Lead the design, build and delivery of data platforms and services across the full engineering life cycle Own technical delivery of data pipelines, models and platform components, ensuring solutions are robust, scalable and maintainable Design, develop and deploy ETL/ELT pipelines to ingest, transform and optimise large-scale datasets Build and operate event-driven architectures (Kafka) and orchestrate workflows (Airflow) Apply strong data architecture principles across data lakes, warehouses and event-driven solutions Develop and maintain streaming pipelines using technologies such as Kafka Implement monitoring and observability solutions using tooling such as Prometheus and Grafana Ensure data quality, validation and governance processes are built into engineering workflows Act as a trusted technical advisor to clients and stakeholders (client-facing), translating business requirements into robust engineering solutions Support delivery planning activities, including estimation, risk identification and dependency management Mentor and support other engineers, contributing to a culture of continuous improvement and engineering excellence Applications: Please contact Edward Laing here at ISR to learn more about our client and how they are leading the way in developing the next generation of technical solutions through innovation and transformational technology?

Senior Software Engineer- 12 Months - SC Cleared - £625pd Rate : £625 per day Duration : 12 months IR35 : Inside Location : Remote - 1 day per week in Exeter The role :A leading Government Institution is seeking a Senior Software Engineer, to work within the weather data team, ensuring APIs are robust and well architected.12-month Contract, SC Cleared. Essential and Desirable criteria as follows : Demonstrable skills in Python software development Demonstrable skills in AWS CDK Strong analytical and problem-solving skills Proven ability of designing, implementing and delivering quality and efficient software using Amazon Web Services to deliver data via APIs Good communication skills that adapt to all level of stakeholders (We're better together) Self-motivated with the ability to prioritise, meet deadlines, and lead development activities Desirable: Experience of source control systems such a git Experience of AGILE approach to software development following GDS principles Experience of using AI / Prompt engineering to aid development Experience of scientific data formats such as NetCDF, BUFR, GRIB In this role you will: Develop software to meet user needs Follow best practice guidelines and help to improve those guidelines Write clean, secure and well-tested code Coach and mentor more junior colleagues Operate the services you build and identify issues in production If you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing Design and optimise scalable RAG pipelines and vector search systems Orchestrate multi-model AI services with a focus on latency, resilience and performance Productionise GenAI workflows and ensure they operate reliably under real usage Build and run AI services across AWS and Databricks Develop ingestion, embedding and retrieval pipelines Deploy containerised workloads via Kubernetes and Helm Implement Infrastructure-as-Code using Terraform Introduce end-to-end monitoring, tracing and alerting for AI workloads Improve inference and retrieval performance while reducing operational cost Establish fault-tolerant, scalable infrastructure patterns Embed security, evaluation and governance into the AI lifecycle Build CI/CD pipelines and automation to support continuous model deployment Create reusable platform components to accelerate future AI initiatives Strong experience in: Cloud infrastructure engineering (AWS-focused environments) Kubernetes, containerisation, and distributed systems Terraform / Infrastructure-as-Code CI/CD, automation, and platform reliability Running production workloads with high availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale Own platform design decisions and influence long-term architecture Blend modern DevOps practices with cutting-edge Generative AI use cases Be part of a growing, innovation-driven engineering environment Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR1 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

Software Engineer (Golang / AWS) Our client based in Greater Manchester is currently looking for skilled Golang Software Engineer to design, develop, and maintain secure, high-performance software solutions in AWS. You will work closely with architects, front-end developers, QA, and product teams to deliver scalable services. This includes developing microservices, RESTful APIs, and leveraging serverless technologies while applying engineering best practices. Key Responsibilities: Build and maintain robust, scalable backend solutions using Go. Develop serverless applications in AWS (Lambda, SST). Implement CI/CD pipelines and automated testing frameworks. Build and document APIs using OpenAPI standards. Work with NoSQL data stores, including DynamoDB. Apply strong security principles in all software design. Collaborate in Agile squads to deliver solutions efficiently. Explore GenAI tools to accelerate development. Skills & Experience: Proven experience developing software using Go. Experience with AWS serverless architecture. CI/CD and automated testing expertise. RESTful API and microservices development. Familiarity with DynamoDB or similar NoSQL databases. Comfortable communicating complex technical issues clearly. Knowledge of Agile/Lean methodologies. What We Offer: Hybrid working to balance remote and on-site time. Career growth opportunities in a high-impact fintech environment. Competitive benefits including pension, days holiday, wellness and charity days, birthday and wedding leave. Interested? Please Click Apply Now! Software Engineer (Golang / AWS)

Exciting Opportunity: Data Engineer Our Client, a leading organisation in the data and technology sector, is seeking a talented Data Engineer to join their dynamic team. Known for fostering an innovative and collaborative environment, our Client is dedicated to advancing data-driven solutions within the regulatory landscape. They promote a culture of continuous learning, agility, and excellence, making it an inspiring place to develop your career. Role Overview This pivotal role is a response to strategic growth and the ongoing digital transformation within our Client. As a Data Engineer, you will be at the forefront of designing and implementing high-quality data solutions that significantly impact decision-making processes. Your expertise will help shape the future of data management and analytics, underpinning critical initiatives in a fast-paced, technology-enabled environment. Key Responsibilities Lead technical designs for scalable data platforms within an AWS Cloud environment, guiding the implementation of robust solutions. Provide expert advice on architecture to ensure data solutions meet business needs and comply with regulatory standards. Review deliverables from various teams, ensuring adherence to best practices such as CI/CD, automated testing, and high-quality coding standards. Identify opportunities for product enhancements, proposing innovative solutions that deliver measurable benefits. Collaborate with senior professionals, stakeholders, and third-party providers to facilitate technology change and promote a data-centric approach. Foster a culture of agility, continuous improvement, and rapid delivery by applying modern engineering practices. Essential Skills & Experience Extensive experience designing and developing end-to-end ETL pipelines on AWS and Cloudera data lake environments, supporting high-volume data ingestion with secure, scalable architectures. Proven track record delivering enterprise data solutions using tools such as Talend ETL, Python, and PySpark. Strong understanding of big data technologies, data governance, security, and compliance frameworks. Demonstrated ability to work effectively across diverse teams and manage complex integrations. Passionate about innovation with a focus on enhancing performance, reliability, and operational efficiency in data engineering. Desirable Skills & Experience Prior experience with DataOps practices and automated testing approaches such as TDD and BDD. Familiarity with additional data processing tools and cloud services. Knowledge of regulatory requirements specific to data handling within a regulated environment. Application Process If you possess the skills and experience outlined above and are eager to make a meaningful impact within a forward-thinking organisation, we encourage you to apply. Please submit your CV today to be considered for this exciting opportunity to contribute to transformative data initiatives.

Great opportunity for a Senior Software Engineer to join a mission-driven organisation building systems that process and verify complex open-source information. You'd join a small engineering department and would work in a cross functional product team responsible for building highly scalable, cloud-native, serverless systems in a collaborative DevOps environment. The teams are responsible for all aspects of the product they work on, from ideation through to supporting systems in production, so you should be confident in practices like system design, testing, deployment, observability and monitoring. This position would suit someone looking for a role with a high level of autonomy and the opportunity to work on complex technical challenges. Skills: TypeScript (Node, React) and AWS (serverless) REST APIs NoSQL database (DocumentDB, MongoDB etc.) Graph database (GraphDB, Neo4j etc.) Search technologies such (SOLR, Opensearch, ElasticSearch etc.) The money is good too - up to £80k plus benefits including up to 15% bonus, 6% pension, private medical cover and hybrid working with an office in Manchester city centre. If you're interested and would like to know more, please apply through this advert and I'll be in touch.

Senior Support Engineer About Our Client Our client is a young, design-led healthcare technology company helping over 2,000 private doctors across the UK run their practices more effectively and efficiently, with their web and mobile platform, and hundreds of thousands of their patients. For too long, medical software has been clunky, user-hostile and complicated, and they are changing that. Several customers have independently described them as the Apple of practice management software . They are a bootstrapped, profitable and remote-first company of 25 people with 6 Full Stack Engineers including the company s founder. Having been remote from day one, they fully believe in its benefits. They do have a lovely office in London by the river for in-person collaboration when required, but this is not mandatory as they know some like in-person working and some prefer fully remote. About You Our client is looking for a Senior Support Engineer who thrives on solving real customer problems through hands-on technical work. You ll sit at the intersection of their support, engineering, and data migration teams a true technical generalist who enjoys variety. This is a great fit for a strong Developer who wants to take full ownership of debugging, fixing, and enhancing real-world product issues that impact doctors and patients. You ll work on: Investigating and resolving bugs or issues raised by our client s team of Customer Support Specialists. Making small-to-medium feature tweaks (e.g. modifying exports, adjusting logic). Writing Ruby scripts and jobs for post-migration data cleanup or updates. Collaborating with Developers and support staff to triage, prioritise, and resolve issues. Delivering small fixes to production regularly and reliably. What they are looking for: Strong experience with Ruby on Rails (Rails 7, Ruby 3.4). Proficiency with React, TypeScript / JavaScript, and PostgreSQL. Comfort working in a Linux-based environment (AWS ECS, command line). Great debugging and troubleshooting skills you enjoy getting to the root of problems. Fluent, friendly communication especially with non-technical users. A proactive, independent mindset you get things done without handholding. You must be located within GMT / BST 3 time zones and available during UK working hours (typically 9am 5:30pm). Nice to have: Sysadmin experience. Experience supporting SaaS products or working closely with support teams. Why join our client? Fully remote with flexible working, based around UK hours. Meaningful product used by thousands of doctors and patients every day. Calm, supportive, and highly autonomous culture. Direct involvement in product decisions and fixes that impact real people. Competitive salary.

Job Title: AI Software Engineer Location: Leeds, West Yorkshire/Hybrid Salary: £70,000 - £90,000 per annum + benefits Why Apply? A technology-led organisation is building a genuinely AI-native capability, embedding artificial intelligence into its products, platforms, and long-term strategy. This permanent, Full time Software Engineer (AI Focus) role offers the opportunity to build robust, scalable systems that integrate AI into real-world applications, not just proofs of concept. Software Engineer (AI Focus) Responsibilities Design, build, and maintain scalable Back End systems and services Contribute to the development and evolution of a production-grade AI platform Build and integrate AI-powered features such as LLM-driven services, RAG pipelines, and agent-based workflows into core systems Apply modern software engineering best practices (clean code, testing, CI/CD, observability) to all solutions Develop internal tools and platforms to improve developer productivity and system efficiency Collaborate closely with product, data, and platform teams to deliver high-quality features Evaluate and adopt emerging tools, frameworks, and technologies where they add clear value Support the adoption of AI capabilities across the wider engineering ecosystem Software Engineer (AI Focus) Requirements Essential: Strong software engineering experience building and maintaining production systems Solid understanding of system design, scalability, and performance considerations Experience developing Back End services and APIs in modern tech stacks Exposure to, or strong interest in, AI technologies such as Large Language Models (LLMs), including API integrations or prompt-based workflows Proficiency in at least two modern programming languages Experience with version control, testing practices, and CI/CD pipelines Strong collaboration skills and experience working in cross-functional teams Desirable: Experience integrating AI into production systems (eg chat interfaces, automation, intelligent search) Familiarity with Retrieval-Augmented Generation (RAG), vector databases, or embeddings Experience with cloud platforms (AWS preferred) Awareness of emerging AI tooling (eg MCP, A2A, Threads or similar) Open-source contributions or side projects, particularly involving scalable systems or AI This role is best suited to software engineers who enjoy building reliable, scalable systems and are interested in applying AI to enhance real-world products and platforms. What's in it for me? Permanent, Full time Software Engineer (AI Focus) role Competitive salary (£70,000 - £90,000) Hybrid working model with remote flexibility Private healthcare Professional development and funded learning Opportunity to work on modern, AI-enabled systems at scale Clear progression within a growing engineering function This role offers a strong opportunity to shape how AI is Embedded within a modern, technology-led organisation. We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age.

Head of AI and Innovation Recruiting for an organisation investing significantly in AI and innovation as a key driver of their future. In order to achieve their goals, they re creating an innovation function with the autonomy and sponsorship to challenge the current products and services. As Head of AI & Innovation, you ll be entrusted with building and leading this capability from the ground up. You ll operate with senior-level backing to experiment and explore ideas outside of the existing product or technology roadmaps. This role is for someone who thrives in ambiguity, understands both technology and commercial impact and can turn bold thinking into tangible outcomes. Key Responsibilities Define how AI should be applied across the existing products and services, balancing long-term ambition with short-term experimentation and delivery Explore concepts, test assumptions and convert ideas into working prototypes and MVPs that can be validated with real users and stakeholders Investigate emerging technologies and approaches, from LLM driven capabilities to advanced analytics, ultimately resulting in new ways of differentiating the existing offerings Improve how the business operates through identifying opportunities where AI can remove friction, automate workflows and improve decision-making across internal teams Embed AI practices around data usage, model behaviour, transparency and compliance. Ensuring innovation is matched with trust Work closely with executive leadership to shape priorities, communicate progress and ensure AI initiatives remain aligned with business strategy Recruit, mentor and lead a small group of highly capable Principal Software Engineers, creating an environment that rewards curiosity, pace, and quality Key Skills Proven Innovator who has successfully introduced new technologies and approaches into an established technology organisation and understands how to navigate both opportunity and resistance Hands-on experience designing, building and deploying AI-powered solutions, including LLM based systems Have clear judgement and ability to communicate where AI adds value A solid background in cloud platforms such as AWS and Azure with experience delivering scalable, production grade solutions Commercially minded individual who is comfortable translating complex technical ideas into clear business outcomes for senior, non-technical stakeholders Experience leading technical teams and influencing across product, engineering and operations without relying on formal authority A track record of delivery, moving from ideation to real-world impact, including how new AI features will be utilised by customers Must possess experience working with innovative or disruptive technologies

Head of AI and Innovation Recruiting for an organisation investing significantly in AI and innovation as a key driver of their future. In order to achieve their goals, they re creating an innovation function with the autonomy and sponsorship to challenge the current products and services. As Head of AI & Innovation, you ll be entrusted with building and leading this capability from the ground up. You ll operate with senior-level backing to experiment and explore ideas outside of the existing product or technology roadmaps. This role is for someone who thrives in ambiguity, understands both technology and commercial impact and can turn bold thinking into tangible outcomes. Key Responsibilities Define how AI should be applied across the existing products and services, balancing long-term ambition with short-term experimentation and delivery Explore concepts, test assumptions and convert ideas into working prototypes and MVPs that can be validated with real users and stakeholders Investigate emerging technologies and approaches, from LLM driven capabilities to advanced analytics, ultimately resulting in new ways of differentiating the existing offerings Improve how the business operates through identifying opportunities where AI can remove friction, automate workflows and improve decision-making across internal teams Embed AI practices around data usage, model behaviour, transparency and compliance. Ensuring innovation is matched with trust Work closely with executive leadership to shape priorities, communicate progress and ensure AI initiatives remain aligned with business strategy Recruit, mentor and lead a small group of highly capable Principal Software Engineers, creating an environment that rewards curiosity, pace, and quality Key Skills Proven Innovator who has successfully introduced new technologies and approaches into an established technology organisation and understands how to navigate both opportunity and resistance Hands-on experience designing, building and deploying AI-powered solutions, including LLM based systems Have clear judgement and ability to communicate where AI adds value A solid background in cloud platforms such as AWS and Azure with experience delivering scalable, production grade solutions Commercially minded individual who is comfortable translating complex technical ideas into clear business outcomes for senior, non-technical stakeholders Experience leading technical teams and influencing across product, engineering and operations without relying on formal authority A track record of delivery, moving from ideation to real-world impact, including how new AI features will be utilised by customers Must possess experience working with innovative or disruptive technologies

AI Platform Engineer London Excellent Salary +Benefits Join an award-winning, internationally recognised B2B consultancy as an AI Platform Engineer, owning the cloud-native platform that underpins conversational AI and generative AI products at scale. Sitting at the core of AI delivery, you will design, build, and operate the runtime, infrastructure, and operational layers supporting RAG pipelines, LLM orchestration, vector search, and evaluation workflows across AWS and Databricks. Working closely with senior AI engineers and product teams, you'll ensure AI systems are scalable, observable, secure, and cost-efficient, turning experimental AI into reliable, production-grade capabilities. With further scope of responsibilities detailed below: Own and evolve the AI platform powering conversational assistants and generative AI products. Build, operate, and optimise RAG and LLM-backed services, improving latency, reliability, and cost. Design and run cloud-native AI services across AWS and Databricks, including ingestion and embedding pipelines. Scale and operate vector search infrastructure (Weaviate, OpenSearch, Algolia, AWS Bedrock Knowledge Bases). Implement strong observability, CI/CD, security, and governance across AI workloads. Enable future architectures such as multi-model orchestration and agentic workflows. Required Skills & Experience Strong experience designing and operating cloud-native platforms on AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch). Hands-on experience with Databricks and large-scale data or embedding pipelines. Proven experience building and operating production AI systems , including RAG pipelines, LLM-backed services, and vector search (Weaviate, OpenSearch, Algolia). Proficiency in Python , with experience deploying containerised services on Kubernetes using Terraform . Solid understanding of distributed systems, cloud architecture, and API design , with a focus on scalability and reliability. Demonstrable ownership of observability, performance, cost efficiency, and operational robustness in production environments. Why Join? You'll own the foundational AI platform behind a growing suite of generative AI products, working with senior AI leaders on systems used by real customers at scale. This role offers deep technical ownership, long-term impact, and an excellent compensation package within a market-leading organisation. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.

Senior Agile Delivery Manager 12-month Contract - Inside IR35 - up to 600 per day Newcastle, Leeds or Birmingham based (must be local to one of these offices) - Hybrid working - 3 days office based Previous experience working on government projects highly desirable Role Context The client is forming a new software engineering team to address a defined backlog of 20-30 items focused on service security, testability, resilience and recoverability. This role is not a coordination-only delivery role. We require a highly experienced Delivery Manager who can operate immediately and sustainably in a hands-on Scrum Master / agile delivery capacity, working directly with engineers on day-to-day delivery. You will work closely with a Senior Technical Business Analyst and Architect to ensure the backlog is technically ready, prioritised and executable before and during active sprint delivery. Core Purpose The Senior Agile Delivery Manager is a technical delivery leader responsible for the hands-on delivery of software within a modern engineering environment. You will: Lead agile ceremonies, Actively manage delivery risks and dependencies, Influence and engage senior stakeholders, and Enable engineering teams to deliver high-quality software outcomes. Recent, applied experience leading software development teams is essential. Statements of capability or aspiration without evidence will not be considered sufficient. Key Responsibilities Agile Delivery (Hands-on) Act as Scrum Master / Delivery Manager for a software engineering team on a day-to-day basis. Lead sprint planning, daily stand-ups, reviews and retrospectives. Actively remove delivery blockers and manage scope, flow and prioritisation. Maintain delivery momentum across a sustained period of active build work. Software Delivery & Technical Engagement Work directly with software developers, testers and DevOps engineers. Understand and manage delivery within modern software engineering lifecycles. Engage confidently with technical discussions and trade-offs. Support delivery across complex technical concerns (e.g. resilience, security, recoverability). Senior Stakeholder Influence Influence and challenge senior technical and non-technical stakeholders. Provide clear, evidence-based delivery reporting. Build trust through consistent delivery performance and transparency. Planning, Coordination & Reporting Maintain and refine prioritised backlogs with Product Managers and technical leads. Proactively manage risks, issues and cross-team dependencies. Use Jira effectively for planning, tracking and reporting at team and initiative level. Complete delivery-related governance and change activity (e.g. ServiceNow). Essential Skills & Experience (Mandatory) Recent, hands-on agile delivery experience with software development teams Operating as a Scrum Master / Delivery Manager in active software build Delivery within modern engineering environments, including: o Version control (e.g. Git) o CI/CD pipelines o Cloud-native or platform-based services Strong senior stakeholder engagement and influence Practical experience managing delivery risks, dependencies and complex backlogs High proficiency in Jira (team and programme level) SFIA Level 6 capability demonstrated through applied experience, not role titles Technical Environment (Experience Required) The successful candidate will have worked recently and directly with engineering teams using technologies and practices such as: Cloud platforms (e.g. Azure and/or AWS) as part of software delivery, not migration only Infrastructure as Code (e.g. Terraform) CI/CD tooling and modern DevOps practices Automated testing and quality practices Secure, resilient digital services Desirable Experience Experience with platform engineering or data engineering teams Previous experience working within UK government digital services Use of ServiceNow for delivery/change processes 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.

Lead Platform Engineer £100,000 - £120,000 Hybrid (London) The Mission Cut dev-to-production lead time with seamless CI/CD and preview environments Design "Golden Path" workflows so engineers ship features, not config files Auto-scale GCP infrastructure to handle Black Friday and January travel peaks Champion SRE practices - define SLOs and error budgets for the booking flow Architect data-sync pipelines with GDPR-compliant PII masking for dev environments Operationalise Vertex AI and Redis to power personalised search and dynamic pricing The Tech Stack We'll consider strong candidates from AWS or Azure backgrounds - GCP is where you'll operate. The must-haves are: Kubernetes (GKE) Docker Terraform PHP (Symfony/Drupal) JavaScript Go Cloud SQL/MySQL Redis Nginx Cloud Load Balancing Varnish CDNs Cloudflare Bonus: GCP, BigQuery, Apigee, Vertex AI About You Proven leadership of Platform, DevOps, or SRE teams in high-volume e-commerce, travel, or fintech Deep Kubernetes and container orchestration experience with PHP/React workloads Strong cloud fundamentals (IAM, VPCs, networking) - transferable from AWS or Azure to GCP Scripting fluency in Bash, Python, or Go Experience managing high-traffic SQL databases and Redis caching strategies A track record of data anonymisation workflows and dev-environment seeding What We Offer £100,000 - £120,000 salary Hybrid working (minimum 3 days in our London office) with flexible hours Enhanced pension plan & life and critical illness insurance Medicash health plan Season ticket loan & cycle scheme Supplier social events Dog-friendly office Interested? Apply here. We'd love to hear from you.

Contract Full-Stack JavaScript Developer - Node & Angular 6 month contract (extensions likely) £400 per day - Inside IR35 60% Hybrid in Newcastle Opus is supporting a major migration programme for a UK Government department , delivered via a leading consultancy. This programme supports mission critical services dealing with high user volumes, sensitive data, and complex business processes. We're hiring Node.js & Angular Engineers to play a key role in Front End modernisation and service delivery. What You'll Be Doing Supporting and delivering a large scale Angular migration Building Front End applications using Angular & TypeScript Developing Back End services with Node.js & Express Writing test driven code ( Jest ) Working within CI/CD pipelines Improving automation and Front End standards Ensuring accessibility and WCAG compliance Contributing to architecture and best practice across teams Required Experience Strong experience with Angular (priority) Node.js & Express TypeScript TDD and automated testing CI/CD experience Experience working on large, complex digital platforms Agile delivery experience Nice to Have Kubernetes or containerisation exposure (Docker) Cloud experience ( AWS or Azure ) Public sector/government projects SQL/NoSQL databases, Redis SC eligibility (not mandatory) Apply now or reach out to discuss contract details and team fit.

We are currently recruiting for an experienced Workspace ONE Engineer to work a contract until the end of the year in either London, Manchester, Bristol, Newcastle, Glasgow, York, or Norwich, working 2-3 days per week on-site. Description Working alongside Technical Architects and Principal Engineers, you'll design, maintain and upgrade our client's infrastructure, tackling challenges head on and ensuring seamless service delivery. Support existing Workspace ONE customers with troubleshooting, upgrades and general questions. Research, evaluate, and recommend new or upgraded hardware/software to ensure proper operation and performance for customers. Work with vendors for product enhancement announcements and other issues. Utilize basic network skills to help in solving customer UEM issues. Be able to identify, access, and use resources for troubleshooting (Internet, webinars, etc.). Estimate appropriate project deliverables as requested. Accurately determine resource requirements for a particular project/task. Test, validate, and deploy policies and configurations to endpoints Maintain documentation, knowledge articles, and operating procedures Manage ticket escalations supporting our endpoint technology stack Creating and following device and software life cycle policies Minimize system policies and agent-based footprint on a corporate device Maintaining a software service catalog (enterprise App store) Provide input and manage a corporate patching policy Skills and experience Minimum 4 years of experience managing an MDM/EMM solution and SaaS based platforms Strong understanding of security and device hardening, especially with mobile devices such as phones and tablets Strong experience managing and administering of Android and iOS devices with Workspace ONE Highly developed written and verbal communication. Strong attention to detail, goal-oriented. Versatility, flexibility, and a willingness to work within changing priorities. Ability to work independently. Experience implementing planned changes to infrastructure Understanding of Windows 11 and macOS device management Experience of supporting infrastructure services for 10000+ users Experience in IaaS/PaaS Compute such as AWS, GCP or Azure If you feel you have the skills and experience needed for this role; please do apply now. By applying for this job and submitting your CV to Parker Shaw, you acknowledge and give permission for us to pass it to an associate company for resourcing purposes. We outsource some of our resourcing calls to a trusted third-party company and they may call you to discuss this opportunity with you. They will then report back to us with the outcome of their conversation with you, where upon we will decide whether to submit your CV to the end client. Please be assured that the third-party company do not store or control any of your data, this is all done by ourselves (Parker Shaw).

I am currently working with a public sector consultancy who are looking for an SC cleared Python Engineer to support cloud based data and analytics solutions in AWS. Key skills: Strong Python experience AWS, Apache Spark, Airflow Terraform, Docker, GitLab Experience with security scanning tools (eg Trivy, Wiz, Trend Micro) Active SC clearance - essential

1. Design, implement and troubleshoot Internet of Things (IoT) solutions. 2. Collaborate with cross-functional teams to define IoT project requirements and specifications. 3. Integrate and onboard IoT devices onto the Network using DNA Center for seamless connectivity and ensuring optimal functionality. 4. Integrate sensors, actuators, and communication modules into IoT systems. 5. Implement security measures to safeguard IoT devices and data. Strong working experience with Cisco SD Access, DNA and VxLAN is must. 6. Troubleshoot and resolve issues related to IoT hardware and software components. 8. Conduct feasibility studies and evaluate the performance of various IoT solutions. 9. Collaborate with stakeholders to gather and analyze requirements for the projects. 10. Develop and execute network strategies using DNAC to isolate and secure IoT traffic. 11. Knowledge of designing networks that can efficiently scale to accommodate a future growth of IoT devices. 12. Document design specifications, system architecture, and troubleshooting procedures. Requirements: 1. Bachelor's or higher degree in Computer Engineering, Electrical Engineering, or a related field. 2. Proven experience in IoT development, including firmware and software development. 3. Proficiency in programming languages such as C, C++, Python, and Java. 4. Strong understanding of various communication protocols used in IoT, such as MQTT, CoAP. Thread, etc. 5. Familiarity with cloud platforms for IoT, such as AWS IoT or Azure IoT. 6. Knowledge of security best practices for IoT devices and networks. 7. Experience with hardware design and integration of sensors and actuators. 8. Excellent problem-solving and debugging skills. 9. Effective communication and collaboration skills. 10. Ability to work in a dynamic and fast-paced environment. 11. 7 + years of relevant experience LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.