Azure engineer jobs in United Kingdom - Page 5

We’re hiring a Privileged Access & Identity Security Engineer to join a highly technical, security-first organisation operating in a fast-paced, regulated environment. Identity, privileged access, and secrets are treated here as core security engineering problems, not just compliance controls. This role sits within the Identity & Access Management (IAM) function, with a strong emphasis on Privileged Access Management (PAM), automation, and secure access to critical systems and platforms. Responsibilities: Privileged Access Management (PAM) • Own and operate enterprise PAM platforms (e.g. CyberArk or equivalent), • Design, implement, and maintain privileged access controls across Windows, Unix/Linux, and application environments, • Automate onboarding of privileged and service accounts, including credential rotation and reconciliation, • Enforce least privilege and just-in-time access principles, • Monitor privileged sessions and support investigations into access-related incidents Secrets & Non-Human Access • Manage credentials for applications, services, and automation workflows, • Support secure runtime credential retrieval and rotation, • Work with engineering teams to reduce hard-coded secrets and improve secrets hygiene, • Partner with infrastructure, application, and security teams to implement robust access models, • Support RBAC and access policy alignment across on-prem and cloud platforms, • Support access reviews, audit requests, and evidence production, • Contribute to incident response related to privileged access or credential exposure, • Strong hands-on experience with Privileged Access Management (PAM), • Deep knowledge of CyberArk (Vault, PSM/PSMP, CPM, Privilege Cloud) or equivalent, • Experience automating privileged access onboarding and credential lifecycle, • Solid understanding of least privilege, JIT access, and privileged account risk, • Background working in regulated or high-security environments, • Exposure to secrets management concepts or platforms, • Cloud experience (AWS and/or Azure), • Scripting or automation (PowerShell, REST APIs, etc.)

AI Solutions Engineer – Financial Services – London, Hybrid – 12 Month Contract A leading investment management organisation is looking for an AI Solutions Engineer to help deliver practical AI solutions across the business. This role will focus on building and deploying small-scale AI tools using Microsoft Azure, Copilot Studio and Azure AI Foundry, supporting workflow automation, document handling and internal decision-support. Required: • Azure AI / Azure OpenAI, • Copilot Studio / Azure AI Foundry, • LLMs / AI agent solutions, • Python or C#, • Cloud / DevOps understanding, • Financial services or regulated environment experience Important: Please note this role falls inside IR35 and engagement will be via umbrella.

Role This role is responsible for guiding software engineering teams through a blend of strong delivery management and hands-on technical leadership. It ensures accountability for delivery outcomes while contributing architectural insight, making certain that solutions are thoughtfully designed, scalable, and aligned with agreed standards. In addition, the role promotes technical excellence, establishes best practices, and serves as a visible and influential leader within the team and across the wider business. Skills and Knowledge • Extensive experience as a Senior Engineer, Technical Lead, or Architect with a strong record of successful delivery., • Proven leadership of engineering teams, combining strategic oversight with hands-on involvement in architecture and implementation., • Deep understanding of CI/CD, automation, DevOps practices, and observability maturity models., • Strong ownership of delivery outcomes, including resource planning, capacity management, and accountability for results., • Demonstrated success improving engineering standards, governance, and technical best practices., • Experience driving adoption of new tools, frameworks, and processes across multiple teams., • Solid background in agile software delivery, with clear responsibility for sprint outcomes, technical quality, and stakeholder alignment. Technical Expertise Languages & Frameworks • C# / .NET (Framework & Core), • Microsoft Azure, • Azure Kubernetes Service (AKS), • Docker, • Windows Server (on-premises), • SQL Server, • MongoDB

Solution Engineer – Hybrid (Midlands) – Modern tech stack (Power Platform, Azure, APIs) – Up to £65,000 We are supporting an organisation that is one of the UK’s most established and respected in its industry, leading the industry in customer satisfaction and sustainability. They have a long-standing heritage and won many awards within the industry, reflecting its commitment to excellence and long‑term quality. It’s an environment that blends stability with ambition, where innovation, sustainability, and community‑focused development sit at the heart of its future vision. Employees benefit from a supportive culture, modern hybrid working practices, and the chance to contribute to impactful projects that shape communities across the country. For someone looking to join a forward‑thinking organisation with purpose, momentum, and genuine opportunities for career progression, this is an exceptional place to build a long‑term career. You’ll be part of a business where technology is central to how decisions are made, a place where your input matters, high‑quality engineering is valued, and you can help shape how systems evolve across the organisation. It’s the kind of environment engineers tend to enjoy: • Stable but ambitious, • Strong investment in tools and modern tech, • Supportive leadership, • Real ownership of your work You Will Work With • Lead low‑level solution design, development, configuration, and unit testing, • Build and integrate solutions across a range of enterprise platforms, • Work closely with Technical Leads, Project Managers, stakeholders and fellow engineers, • Contribute to both front‑end and back‑end components, as well as integration layers, • Deliver high‑quality output through solid testing, automation, and adherence to standards, • Support deployments and post‑implementation checks within structured change processes, • Keep up with new tech and help shape the team’s engineering approach, • Step in as deputy to the Technical Delivery Lead when needed Benefits • Up to £65,000 + performance bonus, • Private medical cover, • 26 days holiday (rises with length of service), • Flexible benefits package, • Enhanced family‑friendly policies, • Hybrid working with flexibility (once a month in office), • Strong focus on training, development, and career growth Key Experience • Solid experience as a Solution Engineer in complex enterprise environments, • Hands‑on background with: Microsoft Power Platform / Dynamics, REST, SOAP, and Web API integrations, Azure Integration Services, Azure DevOps, Azure Service Bus, Databricks, Jitterbit, SQL Server, C#, ASP.NET, JavaScript, XML, • Experience delivering engineering work within large IT change portfolios, • Strong understanding of SDLC, automation, DevOps, pipelines, and engineering best practice, • Ability to collaborate effectively with both technical and non‑technical teams, • Strong analytical and problem‑solving ability, • A proactive approach, great attention to detail, and a genuine interest in staying up to date with new technologies

Senior Data Engineer London £65-85k + 15% bonus A London-based software company on a mission to make data work smarter. Their products power thousands of businesses, and as they grow, they’re building a data stack that scales with their ambition. They’re looking for a Data Engineer who’s excited about designing modern data systems, experimenting with new tech, and helping shape how data flows through everything they build. What You’ll Do • Build and own data pipelines that connect product, analytics, and operations, • Design scalable architectures using tools like dbt, Airflow, and Snowflake / BigQuery, • Work with engineers and product teams to make data easily accessible and actionable, • Help evolve their data warehouse and ensure high data quality and reliability, • Experiment with automation, streaming data, and ML-ready datasets, • Influence technical decisions across the stack — they love new ideas What You Bring • Hands-on experience in Python and SQL, • Experience with modern data tools (dbt, Airflow, Prefect, Dagster, etc.), • Knowledge of cloud platforms like AWS, GCP, or Azure, • An understanding of data modelling and ETL best practices, • Curiosity, creativity, and a mindset that thrives in fast-moving environments Why You’ll Love It • Work on meaningful data challenges that directly impact their products, • Small, high-impact team with room to experiment and grow, • Hybrid setup with a central London HQ, • Competitive pay, generous (and achievable bonus), and genuine flexibility, • A team that actually cares about building great tech If you love solving tough data problems and want to help shape the data culture of a growing software company, they’d love to meet you.

AI Engineer to join a leading global alternative investment fund with a focus on AI and Data. You will be part of an exciting journey associated with a start-up within a global fund. As the AI Engineer, part of this role will be to help build the culture and environment as our client expands their footprint, working with LLM, AI and theoretical machine learning fundamentals. Please note – Candidates must be able to show academic excellence via a bachelor's degree in computer science, mathematics, a hard science, or a related field, ideally from top tier universities in the UK or Europe. What's on offer to you? • Be part of a start-up office within a global organisation, • Cutting edge AI projects, • Competitive Salary Package What You Will Be Doing • With AI at your core – Actively engage with a wide range of business functions to leverage your deep machine learning knowledge and exposure, • Design and delivery of systems and machine learning models that solve commercially impactful real world problems, • Framing business problems and commercial opportunities into AI problems - judgement and acumen to understand the true business need beyond the obvious stated requirements, • Challenging current systems and processes to achieve common goals through technical excellence and innovation, • Keeping abreast of progress in AI and technology trends that will keep our client at the forefront of what is possible in their sector, • Having impact from day one – the client will empower and trust the AI engineers to leverage their skillsets What You Will Need to Succeed in This Role • Essential - Demonstration of academic excellence via a bachelor's degree in computer science, mathematics, a hard science, or a related field, ideally from a UK Russell Group university or top tier university in Spain or Europe, • Deep understanding of theoretical machine learning fundamentals as well as practical knowledge of how to build real world ML systems, • Direct experience leveraging LLMs in production, and an in depth understanding of prompt design, agentic workflows, eval harnesses, retrieval pipelines, etc., • Exposure to LLM inference stack fundamentals such as KV Caching, Speculative Decoding, Parallel Decoding, and test-time compute ideas., • Excellent programming, technology, and system design skills, including an in-depth understanding of and recent programming experience with Python and ideally one of C++, Java, or .Net, • Experience working with SQL databases, • Azure or AWS experience, • An entrepreneurial nature, willing to take ownership and run towards problems and someone who thrives on innovation, • The ability to own all aspects of an AI project from start to finish, • Financial Services experience a bonus, but is not essential AI Engineer | AI | LLM | Python | LLM | C++| Java | .Net | SQL Databases

The Company This business is a rail software and consulting company with a growing team and a solid foundation of project-based revenue. It works with leading organisations across the UK rail industry, helping them harness data to solve complex operational challenges. Data Engineers are key to this mission - building robust data infrastructure and tooling that powers insights, analytics, and software products used across the rail network. The Role As a Data Engineer, you'll be part of a collaborative technical team, working across the data lifecycle: from designing ETL pipelines and integrating real-time data streams, to developing APIs and backend systems that deliver rail data securely and reliably. You'll work closely with engineers, consultants, and project managers to translate real-world rail problems into scalable technical solutions. This role sits at the intersection of software engineering, data architecture, and delivery. Key Responsibilities Data Engineering & Infrastructure • Design and implement robust data pipelines (batch and real-time) for ingesting, transforming, and serving rail-related datasets., • Develop and maintain data APIs and services to support analytics, software features, and reporting tools., • Build data models and storage solutions that balance performance, cost, and scalability., • Contribute to codebases using modern data stack technologies and cloud platforms (e.g., Azure, AWS). Collaborative Delivery • Work with domain consultants and delivery leads to understand client needs and define data solutions., • Participate in agile delivery practices, including sprint planning, reviews, and retrospectives., • Help shape end-to-end solutions — from ingestion and transformation to client-facing features and reporting. Best Practices & Growth • Write clean, well-documented, and tested code following engineering standards., • Participate in design reviews, code reviews, and collaborative development sessions., • Stay up-to-date with new tools and trends in the data engineering space., • Contribute to internal learning sessions, tech talks, and shared documentation. The Candidate You might be a good fit if you have experience with: • Building ETL/ELT pipelines using tools like Kafka, dbt, or custom frameworks., • Working with structured and unstructured data at scale., • Backend development in Python (or similar), and familiarity with data APIs., • Cloud data platforms (e.g., AWS Redshift, Azure Synapse)., • SQL and database design for analytics, reporting, and product use., • Agile collaboration with cross-functional teams. You don’t need experience in rail — just curiosity and a willingness to learn the domain.

Senior .NET Engineer | London (Hybrid/Onsite) | £80,000-£90,000 + Package & Bens We’re partnering with a forward-thinking organisation undergoing a major digital transformation, and they’re looking for a Senior Integration Engineer to play a key role in shaping scalable, high-performance systems. This is an opportunity to work at the heart of a modern engineering environment, building and evolving backend services and integrations that power a global digital ecosystem. The Opportunity As a senior member of the engineering team, you’ll take ownership of complex integration challenges—designing, building, and optimising backend services that connect internal platforms and third-party systems. You’ll collaborate closely with product, design, and engineering teams to deliver robust, scalable solutions. What You’ll Be Doing • Designing and developing backend services, APIs, and integration solutions, • Working with modern tech stacks including C#, .NET, and Azure Cloud, • Driving best practices across code quality, testing, and CI/CD, • Leading on complex integration challenges and system improvements, • Collaborating across teams to deliver seamless, end-to-end solutions, • Enhancing system reliability, scalability, and performance What We’re Looking For • 6+ years in software engineering, with strong backend & integration experience, • Deep expertise in C#, .NET, and Azure, • Proven experience building RESTful APIs and event-driven architectures, • Strong understanding of distributed systems and integration patterns, • Experience improving system performance, reliability, and maintainability, • Excellent problem-solving and stakeholder communication skills Nice to Have • Experience with Azure integration tools (Service Bus, Functions, Event Grid), • Knowledge of Kafka, RabbitMQ, or similar messaging systems, • Background in mobile or product-led digital platforms Why Apply? • Work on large-scale, business-critical systems, • Be part of a collaborative, high-performing engineering culture, • Influence architecture, tooling, and engineering standards, • Opportunity to mentor and shape technical direction If you’re a hands-on senior engineer who enjoys solving complex integration challenges and building scalable systems, we’d love to hear from you. Senior .NET Engineer | London (Hybrid/Onsite) | £80,000-£90,000 + Package & Bens

At ScaleneWorks People Solutions, we're more than recruiters; we're career architects dedicated to connecting exceptional talent with top-tier opportunities. Backed by industry experts, we prioritize relationships, offer global opportunities, and champion your success every step of the way. Ready to shape your future? Explore opportunities with us today. We are looking for Python AI Engineer with Databricks exposure Role for our well-known client. • Location: London UK, • Type of Work: Hybrid (2-3 days from the office in a week), • Employment Type: FTE (Full Time Employment) or Inside IR35 Contract Overview We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms. The candidate should be comfortable working across AI solution design, backend development, and data engineering. Key Responsibilities • Design and develop AI and Generative AI applications using Python., • Build backend services and APIs using Flask or Django for AI-powered systems., • Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets., • Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools., • Design scalable architectures for AI solutions including model deployment and data pipelines., • Build REST APIs and microservices to integrate AI models with enterprise applications., • Work with cloud platforms (Azure preferred) to deploy and scale AI applications., • Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions. Required Technical Skills • 7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions, • GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation, • Python development: Strong coding and data processing experience, • SQL and database experience: Querying, data modeling, and data integration, • Backend frameworks: Django or Flask, • API development: RESTful services and microservice architecture, • AI system architecture / solution design: Designing scalable AI applications, • Cloud platforms: Azure AI services preferred, • Strong problem solving and analytical thinking, • Ability to work in cross-functional teams, • Good communication and collaboration skills Ready to Take the Next Step? If you're ready to embark on an exciting journey with ScaleneWorks, we’d love to hear from you! Submit your resume today and let’s unlock new possibilities together KRAZ nr. 28233

Typescript Full Stack Engineer – Consultant Salary: £50,000–£55,721 base plus benefits, perks, and healthcare options! Base Locations: London, Manchester, Newcastle or Glasgow (Hybrid working - operate out of any base!) Organisation: Global IT Consultancy Are you a Full Stack Engineer with deep expertise in Typescript and modern JavaScript frameworks? Join a fast-paced digital engineering community delivering innovative solutions across a wide range of transformation programmes. You’ll work with the latest technologies, collaborate in multi-disciplinary teams, and help shape high-impact digital products used across the UK What You’ll Do • Build high-quality microservices using NodeJS, • Develop responsive, modern front-end applications using React, Typescript, JavaScript, • Work with NextJS and Vite to build fast, scalable front-end solutions, • Deliver cloud-native applications using AWS or Azure, • Contribute to robust CI/CD pipelines (GitLab, GitHub, Jenkins), • Use containerisation tools such as Docker and Docker Compose, • Collaborate closely in agile teams across engineering, design and product, • Apply best practice in security, quality and maintainability What We’re Looking For.... Required • Strong experience building microservices with NodeJS, • Front-end engineering experience using React + Typescript/JavaScript, • Experience with NextJS and Vite, • Cloud experience (AWS or Azure), • Knowledge of Git and Git-based version control tools, • Experience with CI/CD (GitLab, GitHub, Jenkins), • Experience with Docker / Docker Compose, • Strong background working in agile delivery teams Desirable • Terraform or other Infrastructure-as-Code tools, • NoSQL databases (especially MongoDB) or SQL (e.g., Postgres), • Understanding of web standards, accessibility and development best practice Bonus Skills • Building microservices in C# or Java, • Integrating LLMs (e.g., LangChain, Vercel AI), • Using the GOV.UK Design System and Nunjucks What You’ll Love You’ll join a community that values technical excellence, continuous learning and collaboration. Expect: • Exposure to high-profile digital transformation programmes, • Access to extensive training and certifications across cloud, DevOps, engineering, cybersecurity and agile, • A dedicated international learning campus for immersive training experiences, • Monthly team events, digital showcases, breakfasts and away days, • Hybrid working and flexibility to support your work–life balance, • Strong wellbeing support, including wellbeing apps and trained mental health champions Ready to shape the next generation of digital excellence? If you’re a talented full stack engineer who wants to build innovative products, grow your skills and make a real impact, we’d love to hear from you. Apply today!

Role Overview We are looking for a skilled Data Engineer to design, build, and maintain scalable data solutions that support business intelligence and analytics initiatives. You will work closely with stakeholders to transform raw data into meaningful insights, ensuring high data quality and reliability across platforms. Must have worked in the telecommunications domain. Key Responsibilities • Design, develop, and maintain robust data pipelines and ETL processes, • Build and optimise data models to support reporting and analytics requirements, • Develop and enhance dashboards and reports using Power BI, • Write efficient and scalable SQL queries for data extraction and transformation, • Perform data cleansing, validation, and quality assurance to ensure accuracy, • Collaborate with business and technical teams to understand data requirements, • Troubleshoot data issues and provide innovative solutions to complex problems, • Support continuous improvement of data architecture and processes Key Requirements • Strong experience in SQL for data manipulation and performance optimisation, • Hands-on experience with Power BI for dashboard development and reporting, • Proficiency in programming languages such as Python or R, • Experience in data cleansing, transformation, and data quality management, • Strong analytical and problem-solving skills, • Ability to work with large and complex datasets, • Good communication skills and ability to work in a collaborative environment Desirable Skills • Experience with cloud platforms (e.g., Azure, AWS, or GCP), • Knowledge of data warehousing concepts and architectures, • Exposure to big data tools or distributed systems, • Understanding of data governance and security best practices

Role: Senior AI Engineer – M&A & Platform Modernisation Location: London (Hybrid) Employment Type: Permanent Level: Senior / Lead Reporting to: Head of AI / Engineering Director Role Overview We are looking for a Senior AI Engineer with deep experience operating in M&A environments and delivering AI‑enabled application and platform modernisation (“ACP‑isation”) initiatives. This role sits at the intersection of AI engineering, cloud platforms, and enterprise transformation, supporting acquisitions, carve‑outs, and post‑merger integration through scalable, production‑grade AI solutions. You will work closely with architecture, cloud, data, and business stakeholders to accelerate value realisation across complex technology estates. Key Responsibilities AI Engineering & Delivery • Design, build, and deploy production‑grade AI/ML solutions, including:, • LLM‑enabled applications (RAG, agents, copilots), • Predictive models and intelligent automation, • AI services embedded into modernised platforms, • Own end‑to‑end AI lifecycle: discovery, PoC, productionisation, monitoring, and optimisation, • Support technology due diligence from an AI, data, and architecture perspective, • Analyse and rationalise overlapping application stacks, data estates, and AI capabilities, • Design AI‑led approaches for:, • Post‑merger integration, • Carve‑outs and separations, • Rapid capability uplift in acquired entities, • Lead AI components of application modernisation and platformisation programs, • Migrate legacy or fragmented AI workloads to cloud‑native, containerised platforms, • Embed AI into modern architectures:, • Event‑driven systems, • Microservices, • Data platforms and control planes, • Work with cloud and enterprise architects to define target AI architectures, • Collaborate with product owners, data engineers, and platform teams Core Technical Skills • Strong hands‑on experience with Python, and at least one of:, • TensorFlow, PyTorch, scikit‑learn, • Practical experience with LLMs and Generative AI, including:, • Prompt engineering, • Retrieval‑Augmented Generation (RAG), • Agentic workflows, • Experience deploying AI on cloud platforms (Azure, AWS or GCP), • Proven experience working in M&A, carve‑out, or post‑merger integration contexts, • Comfortable operating in ambiguous, high‑pressure transformation environments, • Application and platform modernisation (legacy → cloud‑native), • AI embedded into enterprise platforms, control planes, or shared services, • Strong stakeholder communication and documentation skills, • Ability to balance speed vs. risk in commercial M&A situations, • Experience in regulated environments (financial services, healthcare, energy), • Exposure to Responsible AI, model governance, and AI risk management, • Knowledge of integration patterns for multiple ERP, CRM, or core systems, • Previous experience in consulting, PE‑backed organisations, or scale‑ups

My client, a highly prestigious hedge fund, is seeking a DevOps Engineer to join their Platform Engineering team in London. Embedded within a high-performing technology function, you will play a key role in designing, building and automating critical infrastructure and development pipelines. Working closely with software engineering, architecture and infrastructure teams, you will help drive efficiency, scalability and reliability across a complex, business-critical environment . This is an opportunity to take ownership of CI/CD pipelines, monitoring frameworks and infrastructure automation, whilst contributing to the evolution of a modern, scalable platform. You will be instrumental in identifying automation opportunities, reducing operational risk and enhancing system performance across both development and production environments. The ideal candidate will have strong experience across infrastructure as code (Terraform, Ansible or similar), containerisation (Docker/Kubernetes), and CI/CD tooling (TeamCity or equivalent). You should have solid scripting or development experience (Python, PowerShell, C# or Java), alongside exposure to monitoring and observability tools (e.g. ELK, Prometheus, Grafana). Experience across cloud environments (Azure/AWS), as well as Windows and Linux systems, is highly desirable. To secure the most relevant hire, my client is prepared to offer highly competitive compensation with market-leading bonuses, alongside excellent benefits and the opportunity to work within a collaborative, high-impact environment where technology is a key driver of success. Apply now via the link below or send your resume directly to .

Senior Data Engineer / Data Platform Engineer (Databricks) Contract | Outside IR35 Remote (UK/EU) £550–£650 per day (DOE) We’re partnering with a forward-thinking Data & AI consultancy that is helping to scale a Databricks Lakehouse platform. They are looking for a Senior Data Engineer / Data Platform Engineer who can operate across both Data Engineering & Platform Engineering. This is an end-to-end hands-on role. What You’ll Be Doing: • Designing and building end-to-end data pipelines using Databricks (PySpark / SQL / Delta Lake), • Developing and managing robust, scalable Lakehouse architectures, • Implementing Delta Live Tables (DLT) for reliable, testable, production-grade pipelines, • Optimising performance using:, • Working with Unity Catalog to implement Centralised governance, • Leveraging Databricks Workflows / Jobs for orchestration, • Building CI/CD pipelines for data & platform deployments (Terraform, GitHub Actions, Azure DevOps etc.), • Enabling real-time and streaming pipelines (Structured Streaming, Auto Loader), • Contributing to MLOps workflows, integrating models into production pipelines, • Collaborating with Data Scientists, Analysts, and Platform teams to improve developer experience and platform usability Key Skills & Experience: • Strong experience building pipelines with PySpark / Spark SQL, • Deep understanding of Delta Lake, • Databricks Platform Expertise, • Hands-on experience with: Unity Catalog (governance & security), Spark Declarative Pipelines, Databricks Workflows / Jobs, • Strong understanding of Lakehouse architecture principles, • Performance & Optimisation, • Platform / DevOps Engineering, Infrastructure as Code, CI/CD pipelines, • Strong experience in at least one - Azure, AWS Very Nice to Have: • Databricks certifications (Data Engineer Associate / Professional), • Experience with Feature Store / MLflow, • Exposure to Databricks AI / Mosaic AI / Model Serving If you’re interested in building high-performance Databricks platforms at scale, send your CV to or click apply.

AI Engineer [Analyst] – Early Career Role About the Job As an early‑career AI Engineer at Cerberus, you’ll join a small, high‑impact team building AI systems that power decision‑making across a global investment platform. You’ll work alongside experienced AI engineers, data scientists, and technologists to deliver real products used by investment teams and portfolio companies. This role is ideal for: • PhD graduates in a STEM field with applied ML, optimization, or computational experience; or What You’ll Do Build and deliver ML systems Work with senior engineers to design, train, and deploy machine learning models and data-driven tools that support investment and operational decision-making. Contribute to real production deployments Help integrate ML models into business workflows, build data pipelines, and support the rollout of AI applications across teams. Experiment and iterate Prototype ideas, test assumptions, and rapidly evolve solutions based on real user feedback and real-world constraints. Learn modern tooling and practices Gain hands-on experience with ML frameworks, cloud infrastructure, MLOps tools, and best practices for building scalable AI systems. Communicate clearly Translate technical findings into clear, structured insights for collaborators across technical and business teams. Grow as an AI engineer Develop skills across the full ML lifecycle—data processing, modelling, evaluation, deployment, and ongoing improvement. Sample Projects You Might Work On GenAI for due diligence Support the configuration, extension, and rollout of our in-house GenAI platform across investment teams. Work with senior engineers to customise workflows, analyse model outputs, and drive adoption. Automated Deal Sourcing Tools Help build prototypes that extract signals from datasets and integrate with APIs to enrich leads. Support the creation of modular ML-driven components that can be used across investment strategies. (Both examples are reframed so junior team members contribute meaningfully but are not expected to independently lead full workstreams.) Your Experience We don’t expect candidates to have experience across all areas—what matters most is strong technical fundamentals, curiosity, and a willingness to learn quickly. Foundational skills • Degree in a STEM field., • PhD candidates: applied research involving ML, optimisation, simulation, statistics, numerical methods, NLP, or related areas., • Experience writing clean, maintainable Python code., • Applied AI experience such as exposure to LLM APIs (OpenAI, Azure OpenAI, Anthropic, etc.) and experience with small personal or internship projects building agents or AI-driven workflows., • Comfortable working with data, performing analysis, and writing SQL queries., • Familiarity with tools like MLflow, Weights & Biases, or cloud platforms (Azure, AWS, or GCP)., • Strong problem-solving skills, • Curiosity and eagerness to learn, • Pragmatic, impact-driven approach, • Ability to work collaboratively in a fast-paced environment About Us We are a growing team of AI specialists—data scientists, ML engineers, software engineers, and technology strategists—working to transform how a global investment firm with $65B+ in assets uses data and AI. We operate like a startup within the firm: fast, collaborative, and focused on delivering real value. Our work spans investment desks, portfolio companies, and core operations, giving early-career engineers wide exposure and the opportunity to grow rapidly.

Software Engineer Tech Stack: C#, .NET, Python, AI Development, SQL, Azure London - Onsite Salary Range: £50,000 - £90,000 Harrington Starr has partnered with a boutique Investment Bank, with decades of experience and exceptional performance. They are currently seeking to hire a Polyglot Engineer possessing strong experience developing front office applications and systems, written in C# and Python. If you have a deep interest working with modern technologies, building reliable business applications this could be the role for you. Responsibilities: • Design and develop new front office application utilising C#, .NET, Python, • Working on internal systems to maintain quality and standards, • Utilising historical data for analytics, automation and strategic decision making, • Integration of modern technologies and use of AI, • Daily interaction to quickly solve any issues for front office Benefits: • The ability to convert essential business needs and support front office functions, • Excellent base salary up to £90,000 based on experience and domain knowledge, • Exceptional bonus and benefits (health and dental care, life insurance), • Working flexibility Key Requirements: • BSc Computer Science or related Mathematical degree, • Excellent knowledge and experience developing with C#, .NET, Python, • Good experience developing front office systems, interacting with various stakeholders, • Excellent communication, • Strong commercial development experience with AI technologies, • Un-restricted right to work in the UK If you would like to book in a confidential phone call to discuss this opportunity in further detail, please apply below or send through a copy of your up-to-date CV via email to

Senior Full Stack Engineer (Frontend Focus) Location: London (Hybrid) 1 day a week Salary: up to £90,000 Evantis Technology is working with a fast-growing digital marketplace platform operating in the creative/consumer space, helping them hire a Senior Full Stack Engineer with a strong frontend focus. The business is building technology that supports the full lifecycle of a marketplace platform — from partner onboarding and product creation through to customer purchasing experiences and operational tooling. Their engineering team works closely with product, growth and commercial teams to build scalable systems that support both the customer-facing platform and internal tools. This role will play an important part in improving and evolving the platform as the business continues to grow internationally. What you’ll be working on • Building and improving customer-facing product experiences across the marketplace platform, • Developing frontend-heavy features while contributing across the full stack when needed, • Working on internal tooling and backend services that support marketplace operations, • Collaborating closely with product, design and growth teams to deliver high-impact features, • Contributing to technical discussions around architecture, scalability and product direction What they’re looking for • Strong experience as a full-stack engineer with a frontend bias, particularly with modern JavaScript / TypeScript frameworks, • Comfortable contributing across both frontend and backend services, with experience working with APIs and distributed systems, • Experience working with backend technologies such as Go / gRPC or similar backend stacks (desirable but not essential), • Experience building and deploying applications in cloud environments such as GCP, AWS or Azure, • Product-focused mindset with experience building consumer-facing digital products or marketplace platforms, collaborating closely with product and non-technical teams Nice to have • Experience working in marketplace, SaaS or high-growth product environments, • Exposure to modern backend services and APIs, • Interest in building scalable platforms used by a global audience You’ll be joining a product-led engineering team working on a platform that combines technology, commerce and creativity. The team values engineers who are comfortable owning features end-to-end and contributing to product decisions. If you’re interested, please apply!

Senior Full Stack .NET Engineer • £75,000 – £90,000 + share options, • London | Hybrid working (2–3 days office) Our client is a fast-growing payments technology company who are transforming their sector. Due to continued platform growth and global demand for their technology, they are expanding their engineering team with a Senior Full Stack .NET Engineer who can play a pivotal role in shaping the next generation of payment products and lead the development for a range of new features. This role is ideal for a Senior .NET engineer who thrives within a scale-up environment and enjoys taking ownership for their work. Our Fintech client delivers innovative digital payment solutions that simplify complex compensation processes, while improving customer experience (the product is B2B2C). With strong investor backing and global partners already using the platform, this is an opportunity to join a scaling technology business where your ideas, technical leadership, and product thinking will directly influence future innovation. The Senior Full Stack .NET Engineer will design and deliver scalable cloud-based applications, helping turn innovative product ideas into robust solutions that power seamless digital payment journeys for customers worldwide. Role Highlights • Design and build cloud-native .NET Core microservices and applications, • Develop API-first integrations with payment processors and partner platforms, • Create scalable services across backend systems and cloud infrastructure, • Contribute to product innovation and new feature development You Will Need • 5+ years software engineering experience within modern development environments, • Strong expertise in .NET Core (C#), Microsoft Azure services, Frontend (ideally Angular) and SQL Server., • Experience integrating payment platforms or financial APIs– Experience working with event-driven systems, messaging, and secure authentication Why You’ll Love It • Competitive salary with share option potential, • Opportunity to influence product strategy within a scaling fintech, • Work closely with senior leadership including the CTO and CEO, • Exposure to global travel and aviation technology partnerships, • Collaborative environment where innovation and ownership are encouraged If you have in-depth Microsoft Software Engineering experience (.NET, Azure, SQL, Angular) and enjoy working within a fast-paced scale-up environment, please apply with a copy of your CV ASAP.

We are looking for a technically capable and detail-oriented Engineer to join our sales and support team for a well-known Security Integrator . You will be responsible for supporting cloud-hosted systems on AWS, with a strong focus on containerized environments using Docker and Docker Swarm. Our systems provide critical infrastructure for physical and electronic security solutions, so reliability, responsiveness, and attention to detail are essential. You’ll work closely with development, security, and infrastructure teams to ensure uptime, resilience, and ongoing improvement of our platform. Key Responsibilities: Provide support for cloud-hosted production and staging environments used in electronic security platforms. Monitor, maintain, and troubleshoot distributed containerized services using Docker and Docker Swarm. Respond to and resolve incidents, working to minimize downtime and ensure high system availability. Investigate system performance, log anomalies, and service issues, escalating when appropriate. Collaborate with DevOps and software engineering teams to implement improvements and automation. Maintain thorough documentation of system configurations, processes, and known issues. Assist in system upgrades, patching, and performance tuning. Support security compliance and auditing activities where applicable. Participate in an on-call support rotation. Required Skills & Experience: 2+ years of experience in a technical support, DevOps, or infrastructure engineering role. Strong hands-on experience with Docker and Docker Swarm in a production environment. Proficiency with core AWS services: EC2, S3, CloudWatch, IAM, ELB, ECS/ Fargate, and RDS. Solid understanding of Linux server environments, command-line operations, and scripting. Experience in supporting real-time or mission-critical systems (security, IoT, or similar sectors). Familiarity with log aggregation, monitoring, and alerting tools (e.g., ELK, Prometheus, Grafana). Good understanding of networking, VPNs, load balancing, DNS, and firewalls. Comfortable with Git and CI/CD workflows. Excellent troubleshooting skills and structured problem-solving approach. Strong written and verbal communication skills. Desirable / Nice to Have: Experience with Microsoft Azure cloud services. Background or familiarity with electronic security systems, access control, or surveillance technology. Exposure to Infrastructure as Code tools (e.g., Terraform, CloudFormation). Knowledge of container security and cloud compliance best practices. Experience with scripting languages (e.g., Python, Bash, PowerShell). Understanding of security certifications or industry compliance (e.g., ISO 27001, SOC 2) is a plus. Experience with Kubernetes or OpenShift for container orchestration. Familiarity with CI/CD pipelines and automation tools (e.g., GitHub Actions, Jenkins). Exposure to monitoring tools like Prometheus, Grafana, or ELK stack. Experience supporting enterprise customers in a B2B SaaS or software product company. Experience with access control and intrusion detection systems. Familiarity with virtualization technologies (e.g., VMware, Hyper-V). Knowledge of database systems (e.g., PostgreSQL, MS SQL). Relevant industry certifications (e.g., CompTIA Network+, Security+, CCNA). Experience providing technical training to end-users. Required Qualifications: Experience: 3+ years in a technical support, DevOps, or systems engineering role. Hands-on experience with Docker, docker-compose, and container lifecycle management. Experience supporting or integrating MinIO or similar S3-compatible object storage. Technical Skills: Familiarity with advanced networking concepts and protocols (TCP/IP, DNS, DHCP, VLANs, routing, proxies, firewall configuration, etc.). Strong Ubuntu Linux system administration and troubleshooting skills. Proficient in working with CLI tools and analyzing logs. Experience with storage solutions, volume mounts, and container data persistence. Soft Skills: Excellent communication skills for dealing with technical and non-technical users. Problem-solving mindset with attention to detail. Excellent troubleshooting and problem-solving skills with a logical and methodical approach. Ability to manage multiple priorities and respond promptly to issues. Mayflower is acting as an Employment Agency in relation to this vacancy.

AI Engineer (Contract) – £500/day Outside IR35 📍 Canary Wharf, London (3 days onsite) 🇬🇧 UK-based applicants only We’re looking for experienced AI Engineers who think holistically, automate relentlessly, and know how to turn modern AI capabilities into production-grade, high-impact applications. Our AI organisation is building real-world AI products that deliver business value at speed. This role is ideal for seasoned engineers who combine strong software engineering fundamentals with a pragmatic, hands-on approach to AI tooling and infrastructure. What you’ll be doing • Designing, building, and maintaining production-grade AI applications using modern engineering practices (CI/CD, testing, observability, cloud-native design)., • Developing reusable AI platforms and tools (e.g. conversational bots, AI-powered search, unstructured data processing, GenAI solutions)., • Working in cross-functional, embedded teams with business stakeholders to rapidly deliver AI solutions to high-priority problems., • Evaluating and integrating AI tools and frameworks (LLMs, vector databases, RAG, AI agents) into robust, scalable systems., • Championing automation across the full AI lifecycle—from data ingestion and preprocessing to deployment and monitoring., • Collaborating closely with data scientists, product managers, and engineers to ensure reliable end-to-end delivery., • Contributing to internal tooling, documentation, and best practices to scale AI engineering capability. What we’re looking for • Several years of professional software engineering experience, with a track record of shipping complex systems to production., • Strong Python skills and experience building APIs, microservices, and backend systems., • Solid understanding of software architecture, cloud infrastructure (AWS and/or Azure), and modern DevOps practices., • Hands-on experience integrating ML models into production systems (LLMs via APIs, fine-tuning, RAG, embeddings, agents)., • Experience with tools such as LangChain, LlamaIndex, Haystack, Hugging Face, Weaviate, CrewAI, AutoGen, or similar., • Hands-on work with Retrieval Augmented Generation, AI agents, and agent orchestration frameworks., • Experience working with unstructured data (documents, conversations, images)., • Background in platform engineering, internal developer tools, or forward-deployed/embedded team models., • Rate: £500 per day, • Location: Canary Wharf, London (3 days onsite per week), • Eligibility: Must be UK-based

The Challenge Cardiometabolic conditions will impact 80-90% of people throughout their lifetimes, representing the leading cause of death globally and an important risk factor for a variety of neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models. The Opportunity This is a ground-floor opportunity to shape the future of AI-driven population health management at Onsera Health. Backed by Population Health Partners (PHP)—the proven venture platform behind Metsera (Acquired by Pfizer), Areteia Therapeutics, and Corsera Health—we're building the future of population health. As an AI Engineer, you'll be core to designing and developing patient facing agentic AI systems. You'll work closely with the Clinical and Product teams to operationalize production-grade agentic workflows, design experiments, and rigorously evaluate model performance to ensure impact and safety. You'll build voice based intake workflows, patient engagement systems, clinician-facing tooling and more. Responsibilities • Design and develop patient-facing agentic AI systems, including voice-based intake workflows, patient engagement tools, and clinician-facing applications, • Build and deploy production-grade agentic workflows using LLMs, ensuring reliability, safety, and clinical appropriateness, • Design experiments and rigorously evaluate model performance across accuracy, latency, safety, and user experience metrics, • Partner closely with Clinical, Product, and Engineering teams to translate clinical requirements into robust AI solutions, • Communicate technical approaches and findings to both technical and non-technical stakeholders through clear documentation and presentations What we offer • Mission-driven work addressing critical public health and healthcare economics challenges, • Ground-floor opportunity to shape a breakthrough healthcare AI solution, • Partnership with a world-class team of venture capitalists, innovators, technologists, bioscientists, and clinicians from PHP and beyond, • A fast-paced, dynamic, and highly collaborative work environment, • Competitive salary and benefits package, including participation in our equity program Minimum qualifications • 2+ years of experience in AI/ML engineering, software engineering with ML focus, or a related field (exceptional recent graduates with strong project experience or research welcome), • BS or MS in Computer Science, Machine Learning, Mathematics, or a related quantitative discipline, • Strong Python proficiency and hands-on experience building with LLMs (prompt engineering, RAG, function calling, agent frameworks), • Experience with agent orchestration frameworks (e.g., LangGraph), • Strong software engineering fundamentals such as writing clean code, version control, testing, • Excellent communication skills and comfort working in fast-paced, cross-functional teams Preferred qualifications • Experience building voice AI or conversational AI systems, • Experience with patient-facing systems, • Familiarity with cloud infrastructure (GCP, AWS, or Azure), • Exposure to evaluation and safety tooling for LLM-based systems (guardrails, human-in-the-loop review) About the Venture We are an early-stage health AI company revolutionizing cardiometabolic care and economics. Our unique position within the PHP ecosystem provides: • Venture Track Record: A proven track record of success in incubating innovative biotech and healthcare companies, • Deep Capital: Funding runway and resourcing to support deep technological/scientific R&D and to drive growth, • Strategic Guidance: Direct access to industry pioneers (including founders of The Medicines Company and Metsera), strategists (McKinsey/QuantumBlack alumni), and world-class scientific talent (e.g., scientific leaders at Oxford University Ellison Institute of Technology), • Expert Network: Established connections across pharma, payers, and providers, • Startup Agility: Ownership in the venture, founder mentality, and ground-floor impact PHP Population Health Partners (PHP) is a premier investment firm established in 2020, aimed at transforming health outcomes for large populations. With offices in New York and London, PHP combines financial resources with industry-leading capabilities and technology. The firm's incubation portfolio includes Metsera (NASDAQ: MTSR), Areteia Therapeutics, and Corsera Health. Leadership: Led by industry veterans including Clive Meanwell (The Medicines Company), Chris Cox (The Medicines Company), and Whit Bernard (Metsera), bringing decades of founder experience and operational excellence in biopharma and healthcare.

Contract Opportunity: Cloud Platform Engineer (Azure) We are currently looking for an experienced Cloud Platform Engineer to support the build and operation of a Red Hat-based platform in Microsoft Azure. This platform underpins a Representative Test Environment (RTE), enabling end-to-end testing of new and evolving ICT systems. Location: Remote (with occasional workshops in London & Corsham/Bristol) Contract Length: March 2026 – June 2026 Day Rate: Up to £680 per day Clearance: Active SC clearance required The Role You will play a key role in engineering, building, and operating a secure, stable cloud platform that supports through-life testing activities. Working closely with technical leads, delivery teams, and stakeholders, you’ll help ensure the environment accurately reflects production and enables effective validation of system changes. Key Skills & Experience • Strong experience with Microsoft Azure, • Solid background in DevOps practices and tooling, • Expertise in cloud infrastructure and platform engineering, • Understanding of application architecture, • Proven stakeholder management skills, • Experience working with Red Hat-based platforms Additional Info • Remote-first role with occasional on-site collaboration, • Must be able to attend workshops in London and Corsham (Bristol) when required

Allegis Global Solutions is recruiting for a contract position, and the assignment will be at Warner Bros. Discovery Role: Senior Data Analyst Contract: 6 months Payrate: £ 350 per day via PAYE Location: Leavesden Mode: Hybrid Senior Data Analyst – Analytics Engineer Role My notes; • Advanced PowerBI, Excel, SQL, Tableau and/or Power Automate, • Python (optional but good to have), • Previous, extensive experience requirements gathering, • Previous Business Analyst experience (good but not necessary), • Data cleaning and data transformation experience, • Great presentation skills, • Minimum 5 years experience, • Great team player, • Creative data visualisation and dashboard creation, • Power BI and/or Azure Certified, • Must be UK based and able to commute 3 days a week Draft 1 Responsibilities • Lead the design and delivery of dashboards and data visualisations using Power BI, Excel, SQL, Tableau, and/or Power Automate., • Experience of requirements gathering with stakeholders, translating complex business needs into robust analytics and data workflows., • Own data quality practices, including data cleaning, transformation, validation, and accurate models for reporting., • Establish and refine best practices for data modelling and visualisation standards., • Present analytical findings, trends, and recommendations to senior leadership and cross‑functional teams with clarity., • Partner with engineering, product, and operations teams to automate data processes where possible, optimise reporting infrastructure, and improve existing analytics frameworks., • Good team leader and member – foster a culture of technical excellence, creativity, and continuous learning. Requirements • Minimum 5 years of professional experience in data analytics, PowerBI engineering, analytics engineering, or closely related disciplines., • Advanced proficiency in Power BI, Excel, SQL, Tableau, and/or Power Automate, with a strong track record of delivering comprehensive dashboards., • Extensive experience in requirements gathering, stakeholder management, and translating business questions into analytical solutions., • Strong background in data cleaning, transformation, modelling, and preparing datasets for scalable analytics., • Excellent communication and presentation skills, for both technical and non‑technical audiences., • Demonstrated ability to create creative, user‑centric, visually compelling dashboards and data products., • Power BI and/or Azure certification strongly preferred., • Experience with Python is a plus., • Previous Business Analyst experience would be beneficial but is not essential., • Must be UK‑based and able to commute to the office 3 days per week., • Experience with Data bricks.

Senior Azure SaaS Reliability & Support Engineer Kingston upon Thames / Hybrid £85,000 + bonus + benefits We’re hiring a Senior Azure SaaS Reliability & Support Engineer for a growing UK technology business with a customer-critical Azure-hosted platform. This is a hands-on role for someone who enjoys getting under the skin of live SaaS environments, diagnosing issues properly, and improving reliability before customers even notice there is a problem. This is not a pure DevOps or cloud build role. We’re looking for someone who can investigate production issues, trace root cause, work across application and infrastructure layers, and help reduce recurring incidents through better monitoring, automation and operational insight. What you’ll be doing • Investigating complex application and infrastructure issues in Azure, • Troubleshooting production incidents using logs, telemetry and diagnostics, • Supporting customer environments across single-tenant and multi-tenant deployments, • Identifying recurring problems and driving permanent fixes, • Building or improving monitoring, alerting and automation, • Working closely with support and development teams on code-level and environment-related issues, • Reporting findings and recommendations clearly to stakeholders What we’re looking for • Experience in third-line support, SRE, cloud operations or application support, • Strong Azure experience in a live SaaS / software environment, • Strong troubleshooting and root cause analysis skills, • Experience with Application Insights, Azure Monitor, Log Analytics and KQL, • SQL skills for investigation and remediation, • PowerShell and/or C# scripting, • Experience supporting .NET / C# applications is highly beneficial, • Strong communication skills and the ability to explain technical issues clearly, • Someone hands-on, proactive and comfortable operating independently Package • Salary up to circa £85,000, • Bonus, • Private medical, • Additional benefits Location Hybrid role with 2 days per week in Kingston upon Thames NON-NEGOTIABLE This is a strong opportunity for someone who wants to move away from being just another cog in a large function and instead take real ownership of reliability across a live customer platform. To apply or find out more, get in touch.

About Verifi Verifi is an expanding global SaaS and IoT technology company focused on the construction industry. Dedicated to connecting the physical world with intelligent software. We are revolutionising the industrial construction space. We provide end-to-end solutions—from embedded sensors to cloud-based analytics—that help companies boost efficiency, ensure sustainability, and unlock actionable insights. We are building a supportive, high-performance team to drive the next wave of digital transformation. Join us to build, scale, and innovate at the edge. The Role We're looking for a full-stack software engineer with Angular, TypeScript, and Node.js experience to help build the next generation of Verifi's SaaS platform. You'll be contributing to both frontend and backend development, learning from experienced engineers, and working closely with domain experts in the space. You'll operate in a fast-moving, collaborative environment—building scalable features and services with Angular and Node.js on Azure, while learning to ensure our products remain performant, maintainable, and customer-centric across the entire application stack. What You’ll Do • Write clean, maintainable code across the Angular frontend and Node.js backend services., • Learn and contribute to full-stack architecture—understanding patterns, quality standards, and modern best practices for both client and server-side development., • Collaborate cross-functionally with Product Management, Design, QA, and Customer Success to understand requirements and deliver features in iterative cycles., • Contribute to designing and implementing products that are easily monitored, maintained, scalable, and supported throughout the product lifecycle., • Work with Platform Engineering to understand how the product leverages shared capabilities, tools, and infrastructure., • Learn from senior engineers through code reviews, technical discussions, and architectural guidance., • Learn and apply testing best practices and automation (unit, integration, and E2E) across frontend and backend, integrating quality into every build., • Participate in discovery and experimentation, using insights from Product and Customer Success to understand customer needs., • Contribute to API design, database schema development, and server-side logic implementation. What You Bring • 5+ years building modern web applications with Angular for the frontend., • Experience with Angular, familiarity with cry state management (NgRx/Signals), routing, forms, component composition, and performance concepts., • 5+ years of experience with Node.js, building APIs. Knowledge of GraphQL is a plus., • Familiarity with backend concepts such as RESTful APIs, database design, server-side logic, and API security., • Strong communication skills and a collaborative mindset required., • Willingness to learn data-driven approaches, aligning engineering decisions with measurable impact. Preferred: • Experience building interactive and responsive dashboards with near-time and streaming data., • Interest in learning GraphQL federation, persisted queries, and client caching strategies (Apollo)., • Knowledge of Azure technologies, Web Apps, API-M, IoT Hub, and Event Hub is a plus., • Interest in SaaS scale-ups or B2B platforms, ideally within IoT or industrial technology environments. Education • Bachelor’s degree in computer science or related field – Required

Senior Software Engineer The Opportunity On behalf of a global powerhouse in FinTech Infrastructure, we are seeking a Senior Software Engineer. Our client operates one of the largest financial networks, serving as the digital backbone for thousands of global financial institutions. This is a senior-tier appointment for an engineer who excels at building resilient, high-concurrency systems and wants to lead the digitalization of global financial markets. The Technical Stack You will be working within a modern, engineering-first culture. The core stack includes: • The Engine: Expert-level C# and .NET Core mastery., • Architecture: Deep understanding of SOA (Service Oriented Architecture) and complex Object-Oriented design patterns., • System Dynamics: Specialized knowledge of concurrency, asynchrony, and parallelism—essential for real-time transactional processing., • Data & Web: High proficiency in SQL Server, Web API design, and modern front-end fundamentals (HTML/CSS/JS)., • Reliability: A strict practitioner of TDD (Test Driven Development) and robust CI/CD processes. Desired Innovations Our client is actively modernizing. Exposure to the following is highly valued: • Cloud & Orchestration: Azure ecosystems, Docker, and Kubernetes (AKS)., • Messaging Patterns: Enterprise systems like Azure Service Bus or NServiceBus., • Next-Gen Tech: Experience with Blockchain development or Cryptographic concepts is a significant plus., • Modern UI: TypeScript and Angular for responsive, data-heavy interfaces. Your Impact • Technical Leadership: You will participate in defining the technology and process strategy, occasionally leading high-level innovation or software design initiatives., • Full-Lifecycle Ownership: Design, document, and communicate system solutions that balance high performance with security and cost-effectiveness., • Collaboration & Mentorship: Act as a "Technical Enabler," bridging the gap between deep engineering and business-led requirements while mentoring junior talent., • Innovation: Drive the modernization of global financial infrastructure, replacing frictional legacy processes with fast, efficient, and scalable digital services. Who You Are • FinTech Professional: You have a deep commercial background in Financial Services, Payments, or Transactional Systems. You understand the stakes of high-volume, regulated data., • Team-Centric: You thrive in an Agile environment where team dynamics and peer reviews are taken seriously., • Strategic Thinker: You can contextualize your technical work for non-technical stakeholders and have a passion for "big picture" system evolution. Package & Culture • Salary: £90,000-£100,000 per annum + Performance-related Bonus., • Flexibility: A balanced Hybrid model out of a state-of-the-art Central London office., • Benefits: Industry-leading pension, private healthcare, and a culture that prioritizes professional growth.

Software Engineer (Senior) - C#/.Net & SQL Server | Trading Desk Engineering | Hedge Fund • London (primarily office based in Liverpool Street), • Permanent, Full-time, • £120,000 – £160,000 base + discretionary bonus (of up to 100%) The role: This is an opportunity to join a systematic trading firm as a Senior Software Engineer working directly with the trading desk on the platform that executes trades in live markets. You will be based in the firm’s Liverpool Street front-office trading floor working alongside the traders, senior engineers and the CEO. The firm has around 18 employees, with roughly 9 engineers today (growing to 10). Technology sits at the centre of the business, and engineers work directly on the systems that power trading activity. The environment is fast-paced and trading desk focused, meaning you will regularly context switch between development work and real-time trading needs. You will work closely with end users and have direct access to senior leadership, especially the CEO, so strong communication, attention to detail and empathy for users is important. The role focuses on evolving an established platform while contributing to the longer-term modernisation of the architecture. Non-Negotiables: • Strong software engineering experience (C# preferred but Java, or C++ considered), • Strong SQL / relational database experience, • Careful approach to testing and safe refactoring, • Clear, concise technical and verbal communication, • Have previously worked for a Financial Service organisation or for a software vendor that’s utilised within the Financial Service industry. What You’ll Work With • C#, • .NET Framework, • SQL Server, • WinForms desktop applications, • Azure infrastructure, • Legacy platform modernisation, • Automated testing, • Docker / containerisation, • Modernised execution architecture Core Responsibilities: • Maintain and improve the trading execution platform, • Refactor and enhance a long-lived C#/.NET application, • Make safe changes to legacy code while preserving behaviour, • Write tests that validate and document system behaviour, • Deliver small, well-structured changes with clear commits, • Work with traders to support real-time trading needs, • Improve system usability and operational efficiency, • Contribute to the future rebuild of the execution platform, • Collaborate with engineers across trading systems and infrastructure Examples of the kinds of changes you’ll make to the application: • Incremental changes, tweaks and improvements across the execution platform, • Adding new features that support trading workflows and strategies, • Cleaning up parts of the UI to improve usability, • Simplifying the platform so junior engineers can build starter algorithms without relying on senior leadership for every change Nice to Haves • Exposure to futures, options, or crypto markets, • Experience improving legacy or difficult-to-test systems, • Experience refactoring large codebases, • Exposure to Python or DevOps tooling, • Experience in smaller, high-ownership engineering teams Why Join You will join a small, engineering-led systematic trading firm where software sits at the core of the business. Around half the company is technical, and engineers work directly on the systems that drive trading performance. The trading desk engineering role offers unusually close collaboration with traders and senior technical leadership, giving you real insight and influence over how the platform evolves. Software Engineer (Senior) - C#/.Net & SQL Server | Trading Desk Engineering | Hedge Fund

Role Summary: Job Title: Network Engineer (Mid, Senior, Lead) Job Type: Permanent Pay: £40,000 - £75,000 + Bonus + Benefits Benefits Summary: Private Pension, Healthcare, Mentoring opportunities Location: London - Hybrid working (3-5 days in office) Security Clearance: Must already hold active DV Clearance About the client: Our client is a global powerhouse in the digital transformation space, acting as a critical bridge between complex technology and the essential services that keep the UK running. They aren't just an IT provider; they are the architects of the UK’s most secure and vital infrastructure. Imagine working for a company that designs the digital backbone for national security and public safety, ensuring that the most sensitive data in the country is managed with absolute precision. With a massive international footprint and a reputation for tackling the "impossible" projects, they offer an environment where your work literally protects the fabric of modern society. About the job: This is a high-impact role within the Aerospace, Defence, and Security sector, specifically supporting a monumental project for National Security. As a Network Engineer, you will be at the sharp end of technical evolution, moving beyond simple maintenance into the realm of designing, building, and deploying large-scale enterprise networking platforms. You will be a technical authority, taking ownership of complex solutions and guiding a team of engineers through the intricacies of modern defence-grade networking. Key Responsibilities: • Drive the end-to-end design, build, and deployment of enterprise-leading network solutions., • Take ownership of the proactive monitoring and maintenance of all production systems to ensure 100% uptime., • Lead investigations into complex service problems, creating and implementing robust recovery plans., • Respond to rapid operational requirements in support of critical defence activities., • Provide strategic project support and mentor junior team members to foster a culture of technical excellence. Key Skills: CCNA, CCNP, Cisco Routers, Cisco Switches, Cisco Firewalls, Wireless Access Points, ITIL, TCP/IP, DHCP, DNS, ACLs, Cisco ACI, VMware NSX, Azure Networking, AWS Networking, Ansible, NSD. How to apply: Please either apply through this advert or emailing me directly via . For further information please call me: +44 7441 342136. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

Want to build a data platform that drives real investment decisions? We're looking for a Senior Data Engineer to help design and scale a modern, cloud-based data platform used across multiple business lines. In this role, you would: ✅ Build and maintain scalable data pipelines using Azure and Snowflake ✅ Develop and optimise ETL / ELT workflows (batch & micro-batch) ✅ Design and implement data warehouse models (star/snowflake schemas) ✅ Work across Azure Data Factory, Azure SQL, Storage, and Functions ✅ Ensure data quality, consistency, and reliability across multiple sources ✅ Collaborate with BI teams and stakeholders on analytics and reporting ✅ Contribute to data platform architecture and performance improvements What we're looking for: ✅ Strong experience with the Azure Data Platform (ADF, SQL, Storage, Functions) ✅ Proven background building data pipelines and data warehouse solutions ✅ Advanced SQL and data modelling expertise ✅ Hands-on experience with Snowflake ✅ Experience working with large-scale, enterprise data systems ✅ Ability to work independently and collaborate with stakeholders Why this role? Because you’ll be building a platform that sits at the heart of a major investment business, directly enabling data-driven decision-making across the organisation, not just maintaining legacy systems. What else? 📍 Central London (3 days onsite) 💰 £90k base salary + lots of other benefits! Interested? Click “Easy Apply”, and I’ll be in touch with more details. No need for an up-to-date CV at this stage - we can sort that out later. 🚀

Fullstack Software Engineers – C#, .NET, Vue.js, JavaScript, Azure, Testing- Scotland - Award-Winning, High-Growth Tech Scale-Up Award-Winning, High-Growth Tech Scale-Up | AI-Powered SaaS | £40,000 - £60,000 + Market-Leading Benefits After 110% growth in the last 12 months, they are now investing heavily into engineering function to support their next stage of scale. These five hires will play a pivotal role in shaping the future of the platform. Your role will involve the following: 🌳 New product modules 🌳 UI modernisation initiatives 🌳 Workflow and automation improvements 🌳 Core platform scalability and resilience 🌳 High-impact customer-facing features Focus areas rotate annually, ensuring ongoing growth and variety. 💻 Tech Stack We’re seeking strong full-stack engineers who lead by example. Core stack includes: 🌳 .NET (Framework & Core) 🌳 Azure SQL + Azure Cloud 🌳 Vue.js, Vanilla JS, CSS, HTML (SPA) Bonus experience (nice to have): RabbitMQ, SignalR, broader Azure services 🌳 Azure Cognitive Search 🌳 Data pipelines (Fabric or similar) 🌳 Search technologies (Lucene, Elastic, NoSQL, MSSQL) 🌳 MS SQL views and performance optimisation 🌟 About You 🌳 A strong full-stack engineer with deep problem-solving instincts 🌳 Skilled at breaking down complexity into clear actions 🌳 Emotionally intelligent and great at aligning teams 🌳 Confident challenging assumptions and navigating ambiguity 🌳 Motivated to build elegant, scalable, future-ready solutions 🌳 Passionate about learning, improvement, and collaboration 🎁 What You’ll Get 🌳 £40,000 - £60,000 depending on experience 🌳 Remote-first working 🌳 £1,000+ personal & professional development budget 🌳 33 days holiday, rising to 40 🌳 4-week paid sabbatical after 5 years 🌳 Private healthcare, income protection, death-in-service 🌳 Matched 5% pension 🌳 Innovation Weeks (twice annually) 🌳 20 hours paid volunteering time 🌳 Monthly social time - hikes, BBQs, games nights, workshops 🌳 A supportive, ambitious, inclusive engineering culture 🌍 Working Model Remote-first across the UK 🌳 Collaboration days in Office 🌳 Flexible hours around a 37.5-hour week 🌳 No mandated office days — trust, autonomy, and delivery matter most 🚀 Urgent Hiring - Immediate Interviews Booked These five roles are high priority, with interview slots already reserved for strong candidates. 📌 Please ensure your CV clearly showcases: • technical leadership, • full-stack engineering experience, • relevant architectural or delivery ownership 🌳 Areti Group – Carbon Positive Tech Recruitment 🌳🌳🌳 People & Planet Before Profit. Building teams that leave the world better than we found it.

Senior IAM Engineer (Hands-On) £90,000 - £110,000 City of London Core Technology Experience They Expect Be prepared to clearly demonstrate hands-on experience across: • Microsoft Active Directory, • Microsoft Entra ID / Azure AD, • Microsoft SSO / Multi-Factor Authentication, • CyberArk, • Delinea / Thycotic We are seeking an experienced Senior Identity & Access Management (IAM) Engineer to join our team. This is a hands-on technical role requiring deep expertise across the IAM ecosystem, combined with the ability to design, lead, and deliver secure identity solutions. While leadership and architectural capability are important, this position is best suited to someone who remains actively involved in day-to-day engineering and technical execution. Key Responsibilities • Design, implement, and support IAM solutions across the organisation, • Perform hands-on engineering across identity, access, and privileged access systems, • Collaborate with business units and application owners to deliver secure access solutions, • Define and enforce IAM standards, policies, and best practices, • Assess and challenge access requests to ensure alignment with security and risk frameworks, • Support automation and continuous improvement of identity lifecycle processes Core Technology Requirements You must demonstrate strong, hands-on experience across multiple IAM technologies, including: • Microsoft Active Directory, • Microsoft Entra ID (Azure AD), • Single Sign-On (SSO) and Multi-Factor Authentication (MFA), • Privileged Access Management tools such as CyberArk and Delinea (Thycotic), • Identity Governance & Administration (IGA) platforms such as SailPoint Note: We are looking for breadth of experience across the IAM landscape, not expertise in just a single tool. Skills & Experience • Proven hands-on (“keyboard-level”) engineering experience within IAM, • Ability to both design solutions and implement them technically, • Strong stakeholder engagement skills, including working with business and application teams, • Confidence in representing IAM services, standards, and policies, • Ability to assess risk and challenge requests that may introduce security concerns What You’ll Bring Identity Lifecycle Automation • Experience automating joiner, mover, and leaver processes, • Strong knowledge of IGA-driven automation (e.g., SailPoint or similar), • Understanding of:, • HR-driven identity sources, • Automated provisioning workflows, • Role-based access control (RBAC), • Approval and governance processes, • Deprovisioning and audit controls Privileged Access Management (PAM) • Hands-on implementation experience with tools such as CyberArk or Delinea, • Experience with:, • Account onboarding and vaulting, • Platform configuration and access policies, • Password rotation and credential management, • Troubleshooting and operational support Authentication & Security • Experience implementing MFA and SSO solutions, • Strong understanding of:, • Account compromise prevention, • Protection of privileged identities, • Conditional access and risk-based authentication, • Zero Trust security principles Governance & Risk Management • Ability to balance business needs with security requirements, • Experience applying:, • Least privilege access, • Risk-based decision making, • IAM governance frameworks, • Confidence to challenge and validate access requests How You’ll Succeed • Provide clear, structured communication with a focus on outcomes, • Demonstrate real-world examples of hands-on delivery, • Show how your work reduces risk and improves security posture If you’re a technically strong IAM professional who enjoys both building and shaping secure identity solutions, we’d love to hear from you.

Sonata Software Overview, is a leading modernization engineering company with $1B+ revenue, specializing in cloud, data, and Microsoft Dynamics modernization using their proprietary Platformation™ methodology. Headquartered in Bangalore, it serves global clients in retail, manufacturing, and healthcare with a strong focus on Generative AI and intelligent ecosystems. Azure IaaS - Technical Advisory Role Permanent- REMOTE London, UK Role type: Advisory - architecture, consulting, and support to help customers drive solutions and resolutions. Broad knowledge of Azure infrastructure with deep understanding of the following: Azure virtual machines Azure Arc Azure Backup Azure Site Recovery Azure Networking Azure Storage Azure Monitor Azure Insights Azure Policy Well architected framework (and implementation of concepts) Cloud adoption framework (and implementation of concepts) 8+ years experience with customer facing roles in systems architecture, administration, operations, software support, IT consulting, on-premises and cloud support or consulting for enterprise and/or government customer base, and advanced troubleshooting Understanding of Microsoft’s Modern IT Architecture and Strategy Proven track record in successfully planning, deploying, operating, and optimizing cloud environments. Azure certifications (Azure Solutions Architect Expert; Azure Security Engineer Associate; Azure Administrator Associate) Candidates must be able to work independently. Characteristics of importance include but are not limited to customer service, problem solving, communication skills, and the ability to read/interpret the needs/wants of customer executives and leaders. Advanced Microsoft certifications are preferred. BA/BS (or higher) in Information Technology or equivalent experience Expert level of Microsoft enterprise software product offerings Excellent demonstrated customer service skills

🔧 2nd Line Support Engineer 📍 Hybrid – Basildon We are looking for a 2nd Line Support Engineer to join a dynamic and growing IT support team, delivering high-quality services to a diverse client base. 🔍 The Role You will be responsible for providing 2nd line remote support, resolving technical issues, and ensuring a high level of customer satisfaction. This role requires strong troubleshooting skills, excellent communication, and the ability to work across a broad range of technologies. 🛠️ Key Responsibilities • Provide 2nd line support across desktop, server, and network environments, • Manage and resolve incidents and service requests in line with SLAs, • Troubleshoot complex technical issues and escalations, • Support Office 365 and Azure environments, • Work closely with internal teams and escalate where required, • Contribute to continuous improvement and technical documentation ✅ Key Skills & Experience • Experience in a 2nd line support role within an IT services environment, • Strong knowledge of Microsoft technologies (Office 365, Azure), • Solid understanding of infrastructure (servers, networking, virtualisation, security), • Excellent communication and customer service skills, • Ability to prioritise and manage workloads effectively 🌟 What’s on Offer • Hybrid working (Basildon-based), • Exposure to a wide range of modern technologies, • Supportive team environment, • Clear career progression opportunities (e.g. 3rd line, projects) If you’re looking to take the next step in your IT support career, we’d love to hear from you. Apply now or get in touch for more details.

Role: Senior AI Engineer Project: Industrial AI solutions • Reliability and corrosion, • Well and reservoir facility management, • Process engineering Location: London (Hybrid - 3 days per week) Rate: £700-800/day (Inside IR35) Contract: 6 months initial (multi-year scope) X4 Technology are partnered with a global Oil & Gas organisation offering the opportunity for a contract Senior AI Engineer to design and deliver advanced AI and machine learning solutions for enterprise-scale industrial applications. This role will focus on applying AI to reliability, corrosion, well and reservoir facility management, process engineering and advanced sensing technologies, delivering intelligent systems that drive operational performance and asset insight. Responsibilities of the Contract Senior AI Engineer (Oil & Gas) • Design and deploy advanced AI models including deep learning, graph neural networks, generative AI and vector embeddings to create adaptive systems that continuously learn from operational data., • Build scalable AI platforms and pipelines to support enterprise-grade model training, deployment and lifecycle management., • Develop generative and retrieval-augmented AI systems leveraging LLMs, vector databases and modern AI tooling to unlock insights from complex technical datasets., • Apply computer vision and sensor-driven AI including object detection, sensor fusion and advanced analytics for real-world industrial use cases., • Lead AI architecture and innovation, shaping strategy, evaluating emerging technologies and guiding production deployment of AI solutions. Requirements for the Senior AI Engineer • STEM degree with 5+ years delivering AI / ML solutions in industry., • Proven track record building and deploying production AI systems at scale., • Strong Python expertise with modern ML frameworks including PyTorch, TensorFlow, Scikit-Learn, JAX, XGBoost, OpenCV and Transformers., • Experience developing LLM and generative AI solutions, including RAG architectures, LangChain, vector databases and cloud ML deployment., • Strong stakeholder communication skills, • Nice to haves: Experience in industrial/energy environments, enterprise AI platforms (Azure ML, Foundry, Databricks) or agentic AI systems This is a 6-month initial contract with long-term programme scope, with interviews scheduled for W/C 16th March. If you’re a Senior AI Engineer with experience building production AI systems, ideally in the industrial space, please apply now for immediate consideration.

Our client, Hesta Health, is reimagining women's healthcare starting with postnatal care. Women spend approximately 25% more of their lives in ill health than men, representing a $1 trillion annual lost opportunity globally. Hesta is changing that, and they want a brilliant engineer to help build it. Fresh from closing their seed round, they're hiring their first Founding Engineer. You'll be the technical backbone of the company — working directly with two exceptional co-founders and their founding team to ship Hesta v1 and lay the foundations for what comes next. The Role This is a rare chance to join a mission-driven healthtech startup at day zero and own the entire technical build. You'll work across the stack — frontend, backend, infrastructure — while embedding clinical-grade reliability, data privacy, and AI capabilities from the ground up. What you'll own: • Build end-to-end product features across the full stack (frontend, backend, infra), • Integrate AI/ML capabilities — risk stratification, smart triage, personalisation, • Build privacy-first, regulatory-compliant infrastructure (UK GDPR, NHS DSPT, MHRA), • Shape and evolve the architecture and technical foundations as the company scales, • Establish a lightweight QMS to enable audit-readiness and regulatory compliance, • Contribute to a fast, iterative product loop — design, ship, learn Who You Are Essential: • 5+ years in high-impact, early-stage product teams: you've shipped and scaled full stack products, • Strong backend (Node.js, Python/Flask, FastAPI) and frontend (React, Next.js, Vue) fundamentals, • ML/data science proficiency: Python, SQL, pandas, scikit-learn, PyTorch/TensorFlow, • Experience with cloud platforms (AWS, GCP, Azure) and containerisation (Docker, Kubernetes), • Proven ability to build data-secure, privacy-compliant infrastructure, • Product-minded: you think in outcomes, not just code, • Startup-ready: resourceful, comfortable with ambiguity, bias to action Bonus: • Experience in women's health, digital therapeutics, or regulated healthtech, • Deployed LLMs or predictive models in production environments, • Familiarity with FHIR, HL7, or secure health data pipelines, • Hands-on LLM work: prompt engineering, RAG, fine-tuning (LoRA/QLoRA) The Package • Competitive salary + meaningful equity, • Work directly with and be mentored by two highly experienced co-founders, • Spacious office in Victoria (bike storage, changing facilities, good coffee), • 25 days annual leave + public holidays, • Immediate, company-defining impact — this is day zero Interview Process • Values & Competencies interview (1 hour, virtual), • Technical interview — 90 mins (45 min chat + 45 min live task), • Final 2-hour in-person interview with co-founders Hesta strongly encourages applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds. Interested? Reach out to Kelly Gauthier () or George Alexander ()

Senior React Engineer - £700 - £800 p/day – On-site (Central London) Overview We are hiring a Senior React Engineer to join a high-performance technology team within a leading financial services organisation operating in the oil and energy derivatives space. The business runs a cutting-edge electronic trading platform that serves both internal trading teams and external clients, offering low-latency, highly reliable trading access via a modern UI. We are looking for a self-starter who takes ownership of technical challenges and delivers robust solutions, with the ability to work under pressure in a fast-moving trading environment. You must also be a collaborative team player who communicates clearly and contributes to a high-quality engineering culture. Role & Responsibilities • Design, build, and maintain a React/TypeScript trading UI, delivering real-time streaming data and a seamless user experience, • Integrate the UI with RESTful and streaming APIs (built in Rust and Python), • Own performance improvements across dashboards, widgets, and live data visualisation, • Collaborate with QA and DevOps to enhance automated testing and deployment pipelines, • Lead efforts in securing, scaling, and monitoring the frontend environment, • Use observability tools (Prometheus, Grafana, Loki) to monitor UI health and performance, • Drive UI architectural decisions, performance benchmarking, and best practice implementation Essential Skills and Experience • Degree in Computer Science, Engineering, or a related field, • 5+ years of experience in frontend/UI engineering, with a focus on performance and scale, • Deep expertise in React, TypeScript, and JavaScript, • Strong understanding of WebSocket integration, low-latency data streaming, and threading, • Experience troubleshooting data-heavy UIs and optimising load times, • Familiarity with tools like Redis, Kafka, and cloud platforms such as Azure or AWS, • Proficient in Git and modern source control workflows, • Knowledge of performance diagnostics (e.g. Google PageSpeed Insights) and responsive UI optimisation Desirable Skills and Experience • Experience deploying apps to the Apple App Store, • Knowledge of web security best practices and cyber threat mitigation, • Familiarity with microservices and REST API architecture, • Exposure to Infrastructure as Code tools (e.g. Terraform), • Experience working with real-time trading or data visualisation platforms Package: • Initial 12 month contract (high possibility of extension), • Up to £800 p/day (dependent on level of experience), • Outside IR35, • On-site (Central London)

Software Engineer London / Hybrid | Perm Role £60,000 - £80,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing front and middle office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call -

We’re partnering with a boutique data analytics and technology consultancy with a strong and growing footprint across UK Central Government / Public Sector Following sustained organic growth and increasing demand from major government departments, the consultancy is expanding its consulting team and seeking Azure-focused engineers with real Kubernetes experience who want to move further into consulting, solution design, and architecture. We are open to candidates at different stages of their career: from Junior/mid Level Engineers ready to step into consulting, through to experienced Senior Consultants who can lead solution design and client conversations from day one. This is not just a sys admin type of role and not a pure platform support position. It’s a delivery-focused consulting role, working closely with clients to design and implement secure, scalable, cloud-native solutions, with a clear pathway to grow into an Azure & Kubernetes Solution Architect. Why Join Us? • Join a small, fast-growing consultancy where your contribution genuinely matters, • Work on long-term, meaningful programmes, including national-scale public sector projects, • Be supported in your progression toward Azure & Kubernetes Solution Architecture, • Balance hands-on engineering with design, consulting, and technical leadership, • Avoid rigid role definitions, your responsibilities will grow with your capability What You’ll Be Doing Depending on your experience, you’ll be involved in: • Designing and delivering Azure-based data and platform solutions, • Deploying, operating, and improving Kubernetes platforms (AKS) in real production environments, • Building and supporting modern, containerised workloads, • Contributing to solution design and architectural decisions, with increasing ownership as you grow, • Working across multiple client projects, adapting to different technical and business contexts, • Engaging directly with technical and non-technical stakeholders, understanding requirements and shaping solutions, • Writing clear, high-quality technical documentation and design artefacts, • Keeping up to date with emerging technologies and best practices in cloud, data, and DevOps Who This Role Is For This role could suit you if: • You’re a Junior / Mid Level Engineer looking to move into consulting and gain exposure to solution design and architecture, • You’re an experienced Consultant or Senior who enjoys hands-on delivery but also leading technical direction, • You have practical Kubernetes experience and want to apply it in varied, meaningful client environments, • You want to move toward a Solution Architect role, rather than staying purely operational, • You enjoy variety, ownership, and working closely with clients rather than being embedded in a single internal team Essential Skills & Experience • Continuously lived in the UK for 5+years without sponsorship or visa, and eligible to obtain Government Security Clearance (SC) - MANDATORY REQUIREMENT., • Commercial experience in data engineering, cloud engineering, or platform engineering, • Strong experience with Microsoft Azure, • Hands-on Kubernetes experience (ideally AKS, but equivalent experience considered), • Experience working with DevOps practices and CI/CD pipelines, • Coding experience (e.g. Python, SQL, R, SAS, or similar), • Experience working in secure or highly regulated environments, • Ability to work independently, take ownership, and use your initiative, • A numerate or technical degree, NVQ Level 4, or equivalent experience, • Excellent communication and stakeholder management skills Desirable (Nice to Have) • Experience migrating or modernising legacy platforms, • Exposure to SAS tools and/or SAS administration, • Familiarity with information security standards and controls, • Experience working in Agile delivery environments (Scrum, SAFe, etc.), • Previous consulting or client-facing experience Location & Travel • Remote within the UK - Very occasional travel to client site (typically once a month at most - travel expenses fully covered. Salary & Benefits • Salary range c. £55,000–£65,000, dependent on experience and level, • 12% employer pension contribution, • Up to 15% performance-related bonus, • Shared Company Bonus, • Standard company benefits in addition to above

Power Platform Engineer, London/Hybrid, 6 months, £572/day (Inside IR35) A good client of mine, a leading digital consultancy are currently looking to bring on a Power Platform Engineer on a 6 month initial contract working for one of their big financial end cleints. This will be a hybrid role, working 3 days a week from their Central London office. Power Platform Engineer • Develops solutions on Microsoft Power Platform (Power Apps (Canvas and Model-driven), Power Automate, Dataverse, and Power BI)., • Strong software engineering fundamentals; familiar with the full SDLC from requirements through to production deployment., • Experience working in Agile/Scrum delivery teams., • Has built and deployed Canvas Apps and used Dataflows within Power Platform for data integration and transformation., • Comfortable setting up connectors and endpoints, including email connectors and REST API integrations., • Hands-on with Power Platform Pipelines and/or GitHub CI/CD for promoting solutions to production., • Familiar with the Microsoft/Azure stack (Azure configuration, Azure AD, SharePoint, Microsoft 365)., • Proven track record deploying solutions into production environments., • Good communication and presentation skills; able to present designs and demos to business stakeholders confidently. Apply for more information.

💼 𝐑𝐨𝐥𝐞 - Founding Infrastructure Engineer 📌 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 - London, 2 days per week 💸 𝐒𝐚𝐥𝐚𝐫𝐲 - up to £160K plus equity 🏢 𝐃𝐨𝐦𝐚𝐢𝐧 - Developer Tooling 🛠️ 𝐓𝐞𝐜𝐡 𝐒𝐭𝐚𝐜𝐤 - Terraform | Helm | GCP | ArgoCD | Jenkins | Vertex AI We're building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We're a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For • MLOps & DevOps Tooling: Proven track record of working with systems such as ArgoCD, Kargo, Jenkins, Vertex AI, SageMaker, and similar platforms., • ML Infrastructure Experience: Proven track record of working on ML research and production infrastructure., • Infrastructure as Code: Knowledge of IaC tools such as Terraform and Helm., • Cloud Expertise: Excellent familiarity with at least one of the hyperscaler clouds (GCP, AWS, Azure), and familiarity with the others. We're also hiring across other roles too - 𝐅𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐒𝐞𝐜𝐮𝐫𝐢𝐭𝐲 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐅𝐨𝐮𝐧𝐝𝐢𝐧𝐠 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭

Senior ML/MLOps Engineer (MLflow) | Databricks | Azure) About Optima Partners We’re an advanced data & business consultancy helping major consumer brands transform through data-driven customer strategy, design, and engineering. Our clients include leading UK and global brands across financial services, retail, and more. Join a practitioner-led, fast-growing team delivering ML systems that actually make it into production. We’re growing our engineering team and looking for an MLOps Engineer who loves building real, production grade ML systems not just proof‑of‑concepts. If you enjoy working across the full ML lifecycle and have strong MLflow experience, this role is built for you. What You’ll Do • Own end-to-end ML model lifecycles from training to deployment to monitoring, • Productionise models built in PyTorch, TensorFlow, or Scikit‑learn, • Use MLflow for experiment tracking, model versioning, deployment, and release workflows, • Build scalable data & ML pipelines in Databricks (Delta, DLT, Jobs), • Design and maintain Azure data architectures (Data Lake, Synapse, SQL DW), • Create robust CI/CD pipelines for ML + data using Azure DevOps, Git, Jenkins, • Automate infrastructure with Terraform / ARM / Ansible, • Work closely with engineering teams to deliver real-world ML systems across multiple sectors. Tech Stack You’ll Work With • Python, SQL, PySpark, • PyTorch, TensorFlow, Scikit‑learn, • MLflow (core focus), Databricks, Azure, • IaC: Terraform, ARM, Ansible, • Git, Azure DevOps, Jenkins What We’re Looking For ✔️ 3+ years in ML Engineering, MLOps, or Data Engineering ✔️ Hands-on experience productionising ML models ✔️ Strong MLflow + Databricks experience ✔️ Consulting experience is a plus ✔️ Comfortable working in Agile environments Join us to build production‑ready ML systems that make a real impact working with modern tooling, great people, and the freedom, support, and rewards to grow your career fast. What We Offer • Competitive base salary, • 15% discretionary company bonus, • Up to 37 days’ holiday, • Private medical insurance, • Group life assurance & income protection, • Salary sacrifice pension scheme

Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management Salary: £100,000 Location: Central London, 3 to 4 days onsite You will be joining a global technology consultancy to help design and deliver long-term, enterprise-grade data platforms that enable data-driven decision-making across complex, multi-line organizations. This is a high-impact role within a growing data engineering practice, focused on building modern cloud-based solutions that power analytics, reporting, and business intelligence at scale for enterprise clients. The Role You will design, build, and optimise a scalable, cloud-native data platform that acts as the foundation for business-critical insight. You will work closely with stakeholders across the business, translating requirements into robust, production-grade data solutions. This is a hands-on engineering role where you will take ownership of pipelines, models, and performance. In this role, you will: • Design, build, and maintain scalable data pipelines in Azure and Snowflake, • Develop and optimise ETL and ELT processes for batch and micro-batch workloads, • Build and enhance enterprise data warehouse models, • Write and optimise complex SQL queries for analytics and reporting, • Ensure data quality, reconciliation, and consistency across multiple sources, • Partner with BI teams to support dashboards and reporting tools, • Contribute to platform architecture decisions, • Continuously improve reliability, scalability, and performance You will be expected to work from the Central London office three to four days per week to enable close collaboration with technical and business stakeholders. Requirements & Technical Environment • 7+ years software engineering experience, including 5+ years with data-intensive systems, • 2+ years hands-on experience with cloud data platforms (Azure preferred), • Strong expertise in Azure Data Factory, Azure SQL, Azure Storage, Azure Functions, and Snowflake (1+ year), • Advanced SQL skills, including complex ETL and dimensional/data modeling, • Experience building batch and micro-batch data pipelines, • Deep understanding of enterprise data warehouse architecture and methodologies, • Experience working with large-scale enterprise datasets, • Strong analytical mindset with a focus on data quality Nice to Haves • Snowflake performance tuning and cost optimisation, • Python, • Databricks, • End-to-end data platform architecture, • Enterprise BI platforms, • CI/CD pipelines, • Infrastructure-as-Code Employee Benefits • £100,000 base salary + bonus, • Pension, life assurance, private healthcare and wellness allowance, • 25 days holiday plus bank holidays, • Funded certifications and learning platforms, • Corporate equipment provided, • Hybrid working, • Visa sponsorship and relocation support Senior Data Engineer | Azure & Snowflake | Enterprise Data Platform in Alternative Asset Management

Do you want to build GenAI solutions at speed, not get stuck in long delivery cycles? Have you worked on AI PoCs, MVPs or demos that needed to show value fast? Are you excited by hands-on building, experimentation and client interaction? This role sits within the innovation arm of a global technology consultancy, operating like a startup inside a larger organisation. The team focuses on rapid AI prototyping, co-creation and experimentation with enterprise clients, delivering proof-of-concepts and MVPs in weeks rather than months. You’ll work in small, cross-functional squads alongside AI Architects and consultants, building and iterating AI solutions live with client feedback before successful ideas are handed over to scale teams. The Role As an AI Engineer, you’ll be responsible for rapidly designing, building and iterating AI-powered PoCs and MVPs. This is a highly hands-on role focused on GenAI, agentic systems and demo-ready solutions, where speed and practical impact matter more than long-term optimisation. Key Responsibilities • Build AI PoCs and MVPs in fast innovation cycles (2–6 weeks), • Develop GenAI solutions using LLMs, SLMs and vision models, • Implement RAG pipelines and agentic workflows, • Build lightweight APIs using Flask or Django, • Deploy solutions using serverless and cloud-native services, • Collaborate in client workshops, demos and innovation sprints, • Experiment with emerging AI tools and frameworks Key Details • Salary: £70k–£85k base (flexible for strong profiles), • Working model: Hybrid, 3 days per week in London office, • Tech stack: Python/JavaScript, GenAI (RAG, LangChain, LlamaIndex), agentic frameworks, Azure/AWS, • Visa: No sponsorship available Interested? Please apply below.

Looking to join a company when you can make a real impact? Do you have 4+ years commercial experience developing software with Java & JavaScript? 🚀 Full Stack Engineer – SaaS Solutions 🚀 💰 Salary – up to £75k + bonus 📍 Location – hybrid working 2 days a week in modern London office I am excited to be once-again working with our long-term partner as they look for a Full Stack Engineer to join their team. You will be part of a fast-growing London-based technology SME that provides digital and SaaS solutions for a number of UK companies and government functions. Their admirable dedication and customer focus has already contributed to significant annual growth and driven long-standing partnerships with the likes of the Ministry of Defense, HM Treasury, and the Departments of Work & Pensions and International Trade. They are looking for a motivated Full Stack Engineer with experience with: • Java, • Spring Boot, • Microservices, • JavaScript, • Frontend frameworks: they use Vue.js but are also open to React and Angular, • Containerisation using Docker, Kubernetes, • Developing cloud-native applications with AWS, GCP, Azure, • SQL, NoSQL and other tools and scripting skills Benefits: • Bonus, • Private health insurance (covering eye and dental too), • Life assurance, • Enhanced pension contributions, • 25 days holiday + bank holiday which increases with tenure, • Season ticket loan, • Team away days and monthly socials, • Personal development training budget, • Enhanced maternity and shared parental leave If you would like to join a company that will do wonders for your career with unlimited opportunities for progression, while also working from home 3 days a week, apply now and be considered immediately as a Full Stack Engineer! Please note: Due to compliancy reasons, we will only be able to consider applications based in and eligible to work in the UK.

Do you want to shape how LLMs are deployed at scale in a real business? Have you built RAG or agentic systems that moved beyond experimentation? Are you motivated by measurable customer and commercial impact, not demos? A private-equity-backed consumer services business is scaling its Data Science & AI capability as part of a multi-year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands-on individual contributor position, sitting between Data Science and AI Engineering. You will lead AI proof-of-concepts, design retrieval and context strategies, contribute to the AI architecture, and ensure solutions are robust, scalable and commercially grounded. The role spans the full AI lifecycle, from data preparation and model evaluation through to deployment and optimisation. Key responsibilities • Lead development of LLM and AI proof-of-concepts, • Design and implement RAG pipelines and agentic workflows, • Define evaluation frameworks for LLM quality and response accuracy, • Partner with product and engineering on chat flows and continuous improvement, • Contribute to AI platform architecture and best practices, • Mentor junior ML / AI engineers (no formal line management) Key details • Salary: £80,000 base + 10% bonus, • Pension: 5% matched, • Working model: Hybrid, 3 days per week (Tuesday & Wednesday fixed), • Location: Central London, • Stack: Python, Databricks, RAG, vector databases, Azure (preferred), LangChain / LangFuse, • Visa: This role cannot sponsor Interested? Please apply below.

Contract DevSecOps Engineer (Microsoft Azure) We are supporting a large, complex organisation in appointing an experienced DevSecOps Engineer to design, implement, and support secure cloud deployment pipelines across a Microsoft Azure technology estate. This is a hands-on contract opportunity suited to someone with strong Azure DevSecOps expertise who enjoys working collaboratively across engineering, security, cloud operations, and external partners to deliver secure and reliable platforms. Location: London - Hybrid (minimum 3 days per week onsite) Rate: Competitive (dependent on experience) Start Date: ASAP Duration: Initial 3 months Key Responsibilities • Design, build, and support secure CI/CD pipelines within Azure DevOps, • Implement DevSecOps frameworks and best practices across the Azure environment, • Integrate security tooling into pipelines including SAST, DAST, dependency scanning, and secret scanning, • Develop and maintain Infrastructure as Code using BICEP and ARM, • Enable secure, automated, and repeatable deployment pipelines across Azure services, • Support deployment within Power Platform and Microsoft Fabric environments, • Implement monitoring, logging, and alerting using Azure Monitor, Application Insights, and Log Analytics, • Design and support identity and access management controls across environments, • Support incident response, recovery processes, and operational resilience, • Design backup and recovery strategies, ensuring RTO/RPO requirements are met, • Develop scripts and automation tools using PowerShell and Python, • Plan testing, release readiness, and deployment activities with engineering teams, business stakeholders, and external partners, • Monitor pipeline performance and proactively identify and resolve issues, • Work closely with Engineering Leads and Security teams to ensure solutions align with organisational standards and best practices, • Support configuration and management of development, test, UAT, and production environments, • Promote continuous improvement across DevSecOps tooling, processes, and automation Skills & Experience Required • Strong Microsoft Azure platform expertise, • Proven hands-on experience building and securing CI/CD pipelines in Azure DevOps, • Strong experience with Infrastructure as Code (BICEP and ARM), • Experience integrating security tooling into DevSecOps pipelines, • Experience designing DevSecOps frameworks and secure cloud deployment processes, • Experience with Azure monitoring and observability tools (Azure Monitor, App Insights, Log Analytics), • Strong scripting skills (PowerShell and Python), • Experience working with Power Platform and Microsoft Fabric deployments, • Experience with identity and access management in Azure environments, • Understanding of backup and recovery design including RTO/RPO, • Experience supporting incident response and recovery, • Strong problem-solving and troubleshooting skills, • Experience working collaboratively with engineering teams, security teams, and third-party partners Working Style • Strong communication skills with both technical and non-technical stakeholders, • Comfortable influencing without authority, • Collaborative approach across engineering, security, and business teams, • Self-starter with a continuous improvement mindset, • Delivery focused within a complex enterprise environment Working Pattern • Hybrid working model - minimum 3 days per week onsite in London Please send your CV to to progress matters. • Services Advertised are those of an Employment Business

Im currently looking for a DevOps Engineer to join my client on a six-month contract. There is a strong possibility that this will extend. You will need to have experience with Azure DevOps, GitHub and Octopus. You will need to have knowledge how to connect to database and run SQL statements. Job Overview DevOps - Azure DevOps, Octopus, Github This is not a Data Engineering role - you will need to know how to connect to database and run SQL Statements Knowledge of Python Knowledge of Databases - Snowflake This contract is Inside IR35 and hybrid working Interviews are happening ASAP. If you would like to discuss this opportunity, call me Subeg Lehl or send me a latest copy of your CV.

🚀 Senior Systems Engineer (Linux, On-Prem, Python) 📍 London / Dublin (Hybrid) 🚫 Important This role is not suited to candidates with primarily cloud-based experience (AWS/GCP/Azure). We’re specifically looking for engineers who have worked directly with on-premise infrastructure, physical servers, and OS-level systems. 💡 The Opportunity We’re partnered with a global, high-performance trading technology environment operating at extreme scale. Their infrastructure underpins real-time systems across multiple global data centres, where latency, reliability, and performance are critical to the business. This is not a cloud-first environment. You’ll be working directly with physical servers, bare metal infrastructure, and highly tuned Linux systems that require deep technical understanding and precision. ⚙️ What You’ll Be Doing • Designing, building, and maintaining high-performance Linux server environments, • Troubleshooting complex issues across production infrastructure at scale, • Writing and maintaining automation and tooling (Python + Bash), • Tuning systems to improve latency, performance, and efficiency, • Managing configuration, deployments, and OS-level environments, • Working closely with internal engineering teams and vendors globally, • Contributing to capacity planning and long-term infrastructure strategy 🧠 What We’re Looking For • 5+ years experience working with Linux in production environments, • Strong experience with on-prem / physical server infrastructure (non-cloud), • Solid Python scripting experience (essential), • Deep understanding of networking fundamentals and protocols, • Experience with tools such as Ansible, Kickstart, package management, version control, • Exposure to low-latency or high-performance environments, • Experience with storage (NAS) and system-level configuration (BIOS, kernel tuning, etc.), • Strong troubleshooting mindset with the ability to operate in fast-paced, high-pressure environments 📈 Why This Role • Work on mission-critical systems where performance actually matters, • Direct exposure to large-scale, globally distributed infrastructure, • Highly technical environment with strong engineering standards