Trabajos reliability engineer en Reino Unido - Page 12

What you’ll bring - 1–3 years in technical operations, reliability/SRE, support engineering, or data operations. Job Description Heart Mind Talent are partnering with Verified Global to hire a Reliability & Operations Engineer based in Central London. The Role We’re hiring a Reliability & O

Responsibilities for the Contract Site Reliability Engineer (Algorithmic Trading) - Deploy applications following best practices and manage vendor relationships - Monitor and troubleshoot systems proactively, owning reliability improvements - Work closely with trading teams to understand the full t

Lead Email & Messaging Engineer | Energy Trading | London, Hybrid | Salary Competitive + Bonus We are looking for a Lead Email Engineer to take ownership of the companies email infrastructure to ensure reliability, performance and security for Microsoft 365 supporting daily communication across glo

Site Reliability, DevOps, or Platform Engineering. Skills & Experience - Degree in Engineering, Computer Science, or a related quantitative field.

Founding Site Reliability Engineer | Stealth Fintech | London | Up to £200k + Equity | London (Min 4 days per week in office) Maze is partnering with a stealth-mode startup that's rebuilding core banking from the ground up. We're looking for a Founding Site Reliability Engineer to drive the infras

Founding Site Reliability Engineer | Stealth Fintech | London | Up to £200k + Equity | London (Min 4 days per week in office) Maze is partnering with a stealth-mode startup that's rebuilding core banking from the ground up. We're looking for a Founding Site Reliability Engineer to drive the infras

Heart Mind Talent are partnering with Verified Global to hire a Reliability & Operations Engineer based in Central London.

Job Description Heart Mind Talent are partnering with Verified Global to hire a Reliability & Operations Engineer based in Central London.

Site Reliability, DevOps, or Platform Engineering. Skills & Experience - Degree in Engineering, Computer Science, or a related quantitative field.

What you’ll bring - 1–3 years in technical operations, reliability/SRE, support engineering, or data operations. Job Description Heart Mind Talent are partnering with Verified Global to hire a Reliability & Operations Engineer based in Central London. The Role We’re hiring a Reliability & O

Why Lloyds Banking GroupWe're on an exciting transformation journey and there could not be a better time to join us. Apply today and find out more!**At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. We'll always explain what we need and why, with any request comi

Technology Operations Engineer. Minimum of 2 years working in trade support, site reliability engineering or related fields. Thrives in high-pressure situations while working alongside traders, developers and other engineering teams.

Senior Software Engineer - PHP, MySQL, AWS. Our platform is PHP, MySQL, and AWS, used to deliver features that enable drivers to use our applications in-car and online, with a focus on reliability, maintainability, security and testability. Demonstrable experience of backend development with PHP and

We have a global presence with offices in Paris, NYC, London, Sydney and Bucharest, however we also offer many of our team members the option to work remotely either as fully remote or hybrid‑remote employees.

Senior Site Reliability Engineer - Network Operations. Senior Site Reliability Engineer - Network Operations. Senior Site Reliability Engineer - Network Operations.

Site Reliability Engineer (SRE) - grok.AI’s mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge.Our team is small, highly motivated, and focused on engineering excellence.This organization is for individuals who appreciate challe

As a Pump Engineer at Vital Energi Ltd, you’ll play a key role in delivering sustainable energy solutions by ensuring the reliability and efficiency of pump systems across a range of innovative projects. Install, maintain, and repair various pump systems including centrifugal, booster, and submers

We’re looking for an experienced Test Automation Engineer with strong expertise in both manual and automated testing to ensure the quality, reliability, and performance of Definely’s innovative LegalTech products.In this role, you’ll take the lead in fully automating our Microsoft Word Add-In

As a Reliability Engineer, you’ll work closely with engineering teams in North America and Europe, contributing to a globally distributed system that operates 24x7 at immense scale. Software engineering or reliability engineering experience. Site Reliability Engineer - Traffic and Secure Services.

Due to continuous growth, they are seeking a Lead Maintenance Engineer/Engineering Team Leader to take a key role within their engineering team at a fully automated production facility. The Lead Maintenance Engineer/Engineering Team Leader will be responsible for ensuring the ongoing reliability of

You should possess the following skills and qualifications:.You are adept at automating A/fluency, few-shot, function-calling, RAG orchestration, and have a talent for spotting ambiguity or jailbreak vectors.You must have production-grade Python and TypeScript skills, with experience in shipping thr

Join Clarke Energy as a Field Service Engineer, where you’ll ensure the reliability and performance of our gas engines and related plant equipment. Strong engineering expertise with a solid understanding of gas engines and related systems. Electrical and mechanical engineering knowledge.

Site Reliability Engineer - UK. Qualifications for Site Reliability Engineer:. Monitor and maintain cloud infrastructure for performance, reliability, and security.

Production / Operations Engineer – Investment Banking. One of our Investment Banking clients is seeking an interim Production/Operations Engineer. Keep production systems performant with uptime and reliability.

MSc, PhD or other postgraduate qualification in Engineering Risk & Safety Management, Risk and Reliability Engineering, Process Safety or a related discipline. Graduate Safety Risk & Reliability Engineer (5828). The practice brings together technical safety and risk specialists, threat specialists,

Founded in 2001, Resident Advisor (RA) is one of the world's longest-running music media brands and a cornerstone of the dance, electronic and DJ ecosystem.

Amazon Web Services (AWS) builds and operates some of the largest internet infrastructure on the planet; providing companies of all sizes with an infrastructure web services platform in the cloud. Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. If yo

This role is based at bp in Sunbury‑On‑Thames. Join bp and become part of the team building our future!.

Senior Wintel Engineer / Windows Infrastructure Engineer - Hedge Fund, London Ensure you read the information regarding this opportunity thoroughly before making an application. Multi-strategy hedge fund in Central London seeks a Senior Wintel Engineer / Windows Infrastructure Engineer, to join an expanding team and work on advanced infrastructure challenges. This is a hands-on engineering role within a highly technical and collaborative environment, where you’ll help shape and support the systems for global trading and research. Role • Design, build, and integrate core infrastructure systems across Windows platforms., • Support and enhance the firm’s operating systems, authentication, virtualization, messaging, and network., • Develop automation tools and infrastructure software to drive reliability, scalability, and performance., • Diagnose and resolve complex, high-impact infrastructure and performance issues., • Deep technical expertise across Microsoft infrastructure technologies, • Strong scripting and automation skills using PowerShell., • Passionate about performance, reliability, and clean engineering design., • A proactive problem solver with excellent troubleshooting skills and high attention to detail., • Exceptional communication and collaboration abilities., • Degree in Computer Science or equivalent practical experience.

Senior Software Engineer (Node.js / TypeScript) Do not wait to apply after reading this description a high application volume is expected for this opportunity. I’m partnering with a HealthTech scaleup on a mission to improve health outcomes globally. They’re building a platform that’s already making a huge impact and are now looking for a Senior Software Engineer to help shape the next stage of their technology. You’ll work across design, product and engineering to build scalable backend systems that are high quality, secure and reliable. This suits someone who enjoys ownership, collaboration and bringing structure to fast-paced environments while keeping a product mindset. What you’ll be doing • Designing, building and maintaining backend systems and APIs, • Collaborating across teams to deliver high-impact features, • Continuously improving quality, security and reliability, • Using AI tools to speed up development and delivery, • Always challenging if the team is building the right things What they’re looking for • 4+ years of backend engineering experience, • Strong knowledge of Node.js, TypeScript and REST APIs, • Experience with SQL and NoSQL databases, • Interest or experience with healthcare data formats, • Enjoys working in a fast-changing environment and taking ownership, • Passionate about building meaningful technology If you’re a curious engineer who enjoys combining technical depth with impact, get in touch. I’d love to share more!

Hybrid Cloud/Data Engineer & SysAdmin | Clean Energy | London | £100k-£180k DOE Ensure all your application information is up to date and in order before applying for this opportunity. Are you an experienced Cloud/Data Engineer ready to tackle a complex mix of cloud and on-premises infrastructure? This is your opportunity to join a leading clean energy company with £400 million in funding and support a data-heavy environment crucial for energy market modeling and scaling solutions. The attitude and long-term commitment are key for this team, and you will be empowered to drive reliability and performance across their critical data infrastructure. As a Hybrid Cloud/Data Engineer & SysAdmin, you will: • Operate and improve a critical hybrid setup spanning AWS services and on-premises resources., • Maintain and enhance core data systems, including PostgreSQL databases, Kafka clusters, and data ingestion pipelines., • Modernize infrastructure by migrating systems into AWS CDK–based TypeScript automation., • Drive service reliability through improving monitoring and alerts for critical services feeding Kafka., • Enable a self-service DevOps model where developers can provision infrastructure using high-level IaC blocks. What We're Looking For • AWS Proficiency: Expertise in AWS, ideally holding an AWS Certified Solutions Architect Associate (SAA-C03) or higher., • Container & Infrastructure Expertise: Solid skills in Kubernetes (AWS EKS) for monitoring and optimization, and experience with Infrastructure as Code (IaC)., • Programming & Database Fundamentals: A programming background in at least one language (e.g., Python or TypeScript) and practical administration experience with databases (e.g., PostgreSQL). If you are a talented engineer with strong Linux and networking skills, experience with hybrid environments, and a passion for supporting data-heavy systems, then we want to hear from you. Due to the start up nature of the business they are looking for someone to be in the office 4-5 days a week. This is a permanent role based in London with a competitive salary. They offer a great work environment with strong scripting and automation opportunities and the chance to be part of a long-term journey in the clean energy sector. If you are ready for a challenge, want to make a tangible impact and grow your career, apply now.

Machine Learning Engineer (Conversational AI) Scroll down the page to see all associated job requirements, and any responsibilities successful candidates can expect. Clearance: BPSS Eligible Start: ASAP Work pattern: Hybrid Work type: 12 month FTC (Competitive Salary) Amber Labs are supporting a major government programme focused on transforming public services through the use of AI and automation. This programme is shaping how people interact with digital services across departments — improving accessibility, efficiency, and user experience. We’re looking for a Machine Learning Engineer (Conversational AI) to help design and build advanced conversational and agentic AI solutions. You’ll work with multi-disciplinary teams to deliver innovative AI-driven tools and services that make a real impact on the public sector. Key Responsibilities: • Design and develop conversational AI workflows using frameworks such as LangChain or LlamaIndex., • Fine-tune and optimise Large Language Models (LLMs) for performance, accuracy, and cost efficiency., • Build evaluation pipelines to ensure model reliability and stability., • Develop secure and scalable Python applications and RESTful APIs (FastAPI, Django REST Framework)., • Integrate AI services and foundation models from providers such as Azure AI, Amazon Bedrock, and Google Vertex AI., • Work with vector databases and retrieval mechanisms to enhance accuracy and context., • Strong hands-on experience deploying ML models in production environments., • Excellent programming skills in Python and familiarity with ML/DL libraries (TensorFlow, PyTorch, scikit-learn, Pandas)., • Practical experience with RAG or agentic AI frameworks (LangChain, LlamaIndex)., • Experience working with LLM APIs (e.g. Hugging Face, OpenAI)., • Exposure to conversational AI platforms (Dialogflow, Lex, Rasa, etc.)., • Ability to work collaboratively in fast-paced, agile, and multidisciplinary environments., • Experience with multi-agent orchestration (LangGraph, AutoGen, CrewAI)., • Familiarity with AI observability tools (TruLens, Helicone)., • Awareness of AI safety and reliability frameworks (Guardrails AI)., • Experience working in government or public sector digital projects.

Who are we? Find out more about this role by reading the information below, then apply to be considered. Look at the latest headlines and you will see something Ki insures. Think space shuttles, world tours, wind farms, and even footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest growing syndicate in the Lloyd's of London market, and the first ever to make $100m in profit in 3 years. Ki’s teams have varied backgrounds and work together in an agile, cross-functional way to build the very best experience for its customers. Ki has big ambitions but needs more excellent minds to challenge the status-quo and help it reach new horizons. Where you come in? Are you passionate about leveraging cutting-edge cloud technologies to drive business transformation? As an Azure Engineer, you will play a pivotal role in our dynamic and rapidly expanding team. You will design, implement, and optimise our Microsoft Azure environment, ensuring scalability, security, and seamless integration across the organisation. This role is crucial in supporting our ambitious transformation to a multi cloud estate, enabling modern infrastructure solutions, and ensuring the reliability and performance of our cloud services. You’ll collaborate closely with specialists across platforms, including Microsoft 365 and Google, to deliver a robust and future-ready technology landscape. Over time, we expect you to work hand-in-hand with these teams to ensure the stability, resilience, and scalability of our entire estate. Join us to make a significant impact, drive innovation, and help shape the future of our digital infrastructure. What you will be doing: • Azure Architecture and Delivery: Design, build, and maintain secure and scalable Azure landing zones, networks, and PaaS services to support business-critical applications., • Networking and Security: Manage Azure networking components including Firewalls, Front Door, Application Gateway, and API Management, ensuring resilience, performance, and compliance., • Automation and Infrastructure-as-Code: Develop and maintain Infrastructure-as-Code solutions using Terraform and GitHub, automating deployments and reducing manual effort., • AI-Driven Operations: Leverage AI and automation to optimise infrastructure operations, including monitoring, fault detection, and performance tuning, driving greater efficiency and reliability., • Disaster Recovery and Resilience: Implement disaster recovery strategies across Azure workloads, ensuring robust continuity planning in line with regulatory obligations., • Security and Compliance: Apply and enforce Azure security controls, policies, and compliance standards to meet industry and regulatory requirements., • Collaboration with Project Teams: Partner with delivery and application teams to provision, integrate, and optimise environments for new and existing workloads., • Monitoring and Troubleshooting: Proactively monitor Azure environments, resolve complex incidents, and provide 3rd line support to maintain operational excellence., • Documentation and Knowledge Sharing: Produce clear, accurate documentation of designs, procedures, and standards to support knowledge transfer and audit requirements., • Continuous Improvement: Introduce best practices, new tools, and emerging technologies to enhance Azure operations, ensuring the environment evolves with business and industry needs., • Vendor and Stakeholder Management: Engage with Microsoft and third-party providers, aligning services with organisational goals and future technology roadmaps. What you will bring to the role: • Significant hands-on experience with Microsoft Azure, particularly in networking, security, and PaaS services, • Proven track record in regulated environments, ensuring compliance with frameworks such as ISO27001, NIST or FCA requirements, • Strong expertise in Terraform, GitHub Actions, and modern Infrastructure-as-Code practices, • Experience in applying AI and automation to infrastructure operations, driving efficiency and improving resilience, • Solid understanding of Azure Firewall, Front Door, Application Gateway, API Management, and associated services, • Skilled in architecting and implementing Disaster Recovery and high availability solutions within Azure, • Proficiency with monitoring and observability tools (e.g., Azure Monitor, Log Analytics, Application Insights), • Strong troubleshooting and problem-solving skills with a focus on minimising downtime and disruption, • Ability to create and maintain high-quality technical documentation and share knowledge with colleagues, • Excellent communication and collaboration skills with both technical and business stakeholders, • Relevant Microsoft certifications (e.g., Azure Solutions Architect Expert, Azure Network Engineer Associate) What to expect during the recruitment process: 1. Initial recruiter screening call, 2. Interview with hiring manager, 3. Technical Interview (this may vary depending on the role), 4. Values Interview Ki Values: • Know Your Customer: Put yourself in their shoes. Understand and balance the different needs of our customers, acting with integrity and empathy to create something excellent, • Grow Together: Empower each other to succeed. Recognise the work of our teams, while celebrating individual success. Embrace diverse perspectives so we can develop and grow together. At Ki, we are committed to creating an inclusive environment where every colleague is valued and respected for who they are and can do the best work of their careers. Inclusion is a critical foundation of our business and people strategies and supports our vision of becoming a market-leading, digital and data-led specialty insurance business. An inclusive workplace fuels innovation because creativity thrives when everyone feels valued, respected, and supported to drive it. So, no matter who you are, where you’re from, how you think, or who you love, we believe you should be you. What we offer You’ll get a highly competitive remuneration and benefits package. This is kept under constant review to make sure it stays relevant. We understand the power of saying thank you and take time to acknowledge and reward extraordinary effort by teams or individuals. If this sounds like a role and a culture that appeals to you, apply now!

Lead Email & Messaging Engineer | Energy Trading | London, Hybrid | Salary Competitive + Bonus We are looking for a Lead Email Engineer to take ownership of the companies email infrastructure to ensure reliability, performance and security for Microsoft 365 supporting daily communication across global offices including critical business operations. This is both a strategic and hands-on position, ideal for someone with deep technical expertise in Microsoft Exchange technologies who can also lead a small team and work closely with senior stakeholders across IT, security, and compliance. The role will drive technical direction, lead enhancements, and ensure integration with adjacent systems and platforms in a tightly regulated, performance-driven environment. The Lead Email Engineer Role: As the Lead Email Engineer, you will take ownership of the full lifecycle of the firms email and messaging infrastructure, managing both on-premises and cloud-based environments, with a primary focus on Microsoft Exchange and Microsoft 365. Youll play a leadership role by mentoring a junior engineer, setting the technical direction, and ensuring that all deliverables meet the firms high operational standards. A key part of your role will involve maintaining and enhancing integrations between the messaging platform and other enterprise systems such as identity management, endpoint management, and security tools. You will also be responsible for overseeing all patching, upgrades, business continuity planning, and disaster recovery processes to ensure the reliability and resilience of the firms messaging systems. Youll help implement and enforce governance policies that align with compliance, retention, and security requirements, ensuring that all operations adhere to industry best practices and internal standards. Collaboration is central to this position as youll work closely with security, infrastructure, and support teams to deliver a seamless and consistent experience across the wider digital workplace ecosystem. Finally, you will drive ongoing improvement by identifying opportunities to automate routine tasks and refine processes, contributing to greater efficiency, scalability, and service quality across the messaging environment. Details of this Lead Email Engineer role: Competitive Salary + Bonus + Benefits Central London based Hybrid working. 2-3 days per week in the office Skills Required for the Lead Email Engineer: Expertise in Microsoft Exchange (on-prem & online), including hybrid configurations. Strong knowledge of email security and compliance tools e.g., Microsoft Defender for Office 365, Enterprise Vault, Purview. Familiar with automation and scripting (PowerShell essential; familiarity with Terraform desirable). Experience working with identity and device management platforms such as Entra ID (Azure AD), Intune, and enterprise application integrations. Proven ability to operate in a highly regulated environment, with a strong focus on control, documentation, and audit readiness. Capable of translating business needs into technical solutions, and comfortable engaging with non-technical stakeholders. If you are interested in a Lead Email Engineer role, please send your CV ASAP via this advert or to

Im working with a leading global financial services organisation that is looking to add an IT Systems Engineer (Virtual Infrastructure) to its growing London team. Youll join a highly skilled engineering group of proactive, creative minds who are shaping the future of the company. The team supports complex, large-scale environments running 24/7, where performance, reliability, and innovation are key. In this role youll manage and evolve virtual infrastructure across backup, converged and hyper-converged platforms, while driving automation with tools like Ansible and PowerShell. Alongside ensuring performance, security and reliability, youll contribute to disaster recovery and key infrastructure projects in a mission-critical environment. Requirements: Proven experience in infrastructure engineering or operations within complex environments. Strong knowledge of VMware virtualisation, Nutanix hyper-converged infrastructure, Cohesity backup solutions, and converged infrastructure. Familiarity with automation and DevOps approaches, ideally with Ansible and PowerShell. Exposure to storage platforms such as S3 and file solutions. A proactive mindset with the ability to adapt and thrive in a dynamic environment. Please note this is a hybrid position in Central London.

Role: Staff Software Engineer (Rust & AI Inference) Location: London (23 days a week onsite) Compensation: Up to 160,000 + equity Were supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. Theyre focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. Youll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. You'll be: Building scalable, low-latency LLM inference infrastructure Optimising performance with caching, quantisation, and speculative decoding Contributing to core systems in Rust (we are happy for individuals to lean this on the job) Designing distributed GPU orchestration and inference servers Mentoring engineers and influencing technical direction across the team You should bring: ~5+ years software engineering experience, with deep backend/system-level experience ~ Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python) ~ Familiarity with Kubernetes, and cloud infra ~ A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in production Experience with ML inference systems, PyTorch, Triton, or CUDA kernels Background in document intelligence, enterprise search, or NLP pipelines Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team thats pushing the boundaries of whats possible in AI infrastructure.

Im working with a leading global financial services organisation that is looking to add an IT Systems Engineer (Virtual Infrastructure) to its growing London team. Youll join a highly skilled engineering group of proactive, creative minds who are shaping the future of the company. The team supports complex, large-scale environments running 24/7, where performance, reliability, and innovation are key. In this role youll manage and evolve virtual infrastructure across backup, converged and hyper-converged platforms, while driving automation with tools like Ansible and PowerShell. Alongside ensuring performance, security and reliability, youll contribute to disaster recovery and key infrastructure projects in a mission-critical environment. Requirements: Proven experience in infrastructure engineering or operations within complex environments. Strong knowledge of VMware virtualisation, Nutanix hyper-converged infrastructure, Cohesity backup solutions, and converged infrastructure. Familiarity with automation and DevOps approaches, ideally with Ansible and PowerShell. Exposure to storage platforms such as S3 and file solutions. A proactive mindset with the ability to adapt and thrive in a dynamic environment. Please note this is a hybrid position in Central London.

Role: Senior Backend Engineer (Node, TypeScript, AI tooling) Location: Remote across the UK Were kicking off a project with a well-funded AI research and product company focused on building advanced tools for creative professionals. The team works on generative AI technologies that help people create images, video, and interactive content more efficiently. The role involves building web-based features, integrating APIs, and collaborating with teams working on AI-powered content generation. Youll be joining a curious, collaborative engineering team tackling challenging, high-impact problems in creative tools. Build interactive, browser-based experiences powered by generative AI Design and implement API-driven features using Node + TypeScript Collaborate with ML and backend teams on real-time media + collaboration tools Ship high-quality code and improve performance, reliability, and scalability 4 years + experience as a software engineer (backend focus) Strong TypeScript Hands-on experience building and integrating APIs This is a chance to join a high-ownership team, ship user-facing features at scale, and work at the frontier of AI + creativity.

Trading Software Engineer - Systematic Market Maker Location: London (onsite 4 days) 375k++ total compensation Quant capital is urgently looking for a Software Developer to join a prestigious market maker. This role sits in a highly autonomous engineering team building performance-critical trading systems that power both OTC and exchange-based strategies across global markets. This is a role that suits those who have been working on high performance systems at the very highest level. This is a hands-on dev position focused on building pricing engines, market connectivity, execution logic, and real-time controls. You'll work directly with researchers and analysts, deploying models into production and designing architecture that balances performance and flexibility. Build and maintain low-latency trading platforms across asset classes Design pricing and risk logic, market data processing, and order handling Optimise data flow and system throughput under real-time constraints Implement core components in Kotlin (some C++ and legacy Python/Java) Engineer for reliability, testing, monitoring and rapid fault recovery Advanced experience in Kotlin or Java (Other languages considered C#/F#/C++) Deep familiarity with Linux environments and system-level APIs Finance experience not required, but curiosity helps

Data Engineer (Insurance OR Financial Services Background) - London - 75,000-85,000 - Hybrid Data Engineer required to join a UK leading insurance business based in London. They are looking for someone who is happy to collaborate on a hybrid basis (1/2 days a week onsite). They offer excelllent career advancement alongside regular salary reviews. This position is perfect for someone who takes pride in owning data, code, and outcomes. Youll play a central role in shaping and maintaining the data platforms and pipelines that drive pricing analytics and underwriting performance. Your work will ensure data quality, consistency, and scalability across the board. Partnering with teams across Pricing and Underwriting, Data Science, and Engineering, youll design and build modular, transparent pipelines - delivering end-to-end visibility from raw data ingestion to pricing model deployment, empowering smarter and faster decision-making. Take ownership of, enhance, and scale the data platforms and pipelines that underpin pricing analytics. Implement robust governance, validation, and alerting systems to maintain data integrity, reliability, and responsiveness to changing data trends. Lead code consolidation and modularization efforts to create reusable, scalable, and maintainable data components that promote transparency and reproducibility. Streamline processes to enhance efficiency and scalability across the pricing data ecosystem. A degree in Mathematics, Computer Science, Engineering, or a related discipline. Strong proficiency in SQL and Python (or another object-oriented programming language). Exceptional attention to detail, with a focus on data accuracy and process reliability. Familiarity with PySpark or other big data technologies. Knowledge of pricing or modelling workflows and the impact of engineering decisions on model performance.

Data Engineer | AI Startup | Real-Time Data & ML Pipelines Im currently partnered with a next-generation AI startup thats building real-time intelligence systems capable of understanding and adapting to the world as it happens. Theyre at the forefront of streaming data, continuous learning, and large-scale inference - and theyre now looking for a Data Engineer to help power that mission. Its a build-it-from-the-ground-up opportunity in a company thats solving genuinely hard, technical problems around real-time data pipelines and ML infrastructure . The team is looking for a Data Engineer who can design and scale real-time data architectures and machine learning pipelines that drive continuous model training and experimentation. Youll be working in close collaboration with ML engineers, product leads, and platform teams to make sure the companys AI models are learning, and improving, in production. Architect and maintain real-time streaming data systems (Kafka, Kinesis, or Flink) Manage and optimise data storage solutions (Snowflake, BigQuery, Redshift, or Delta Lake) Automate and scale model training pipelines in close partnership with ML engineers Champion data reliability, scalability, and performance across the platform Languages: Python, Scala, Go Data storage & processing: Cloud: AWS / GCP / Azure Proven experience building scalable data pipelines in real-time or near real-time environments Strong background in data architecture, performance tuning, and distributed systems Comfort working end-to-end - from data ingestion to model-ready outputs An interest in AI, ML ops, and data-driven product development Join a well-funded AI startup with massive growth potential Be the first Data Engineer , shaping the entire data backbone Work with exceptionally talented engineers and researchers solving real-world AI problems If youve built or scaled data pipelines in production and want to be part of something genuinely cutting-edge, Id love to chat. Drop me a message here on LinkedIn or send over your details - happy to share more about the team, the vision, and what theyre building.

Role: Staff Software Engineer (Rust & AI Inference) Location: London (23 days a week onsite) Compensation: Up to 160,000 + equity Were supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. Theyre focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. Youll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. You'll be: Building scalable, low-latency LLM inference infrastructure Optimising performance with caching, quantisation, and speculative decoding Contributing to core systems in Rust (we are happy for individuals to lean this on the job) Designing distributed GPU orchestration and inference servers Mentoring engineers and influencing technical direction across the team You should bring: ~5+ years software engineering experience, with deep backend/system-level experience ~ Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python) ~ Familiarity with Kubernetes, and cloud infra ~ A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in production Experience with ML inference systems, PyTorch, Triton, or CUDA kernels Background in document intelligence, enterprise search, or NLP pipelines Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team thats pushing the boundaries of whats possible in AI infrastructure.

AI Engineer - Remote London - 120,000 160,000 + bonus & benefits My client are seeking an AI Engineer to design, develop, and deploy large language models and autonomous AI agents at scale. Youll work across the full ML lifecyclefrom dataset curation and model development to MLOps, production deployment, and integration of agentic reasoning pipelines into real-world applications. Competitive salary 120,000160,000 Fully remote within the UK, with hybrid options in London. Open annual leave policy Implement prompt engineering, instruction tuning, and RLHF for high-quality outputs. Build planning, decision-making, and task execution pipelines using tools such as LangChain or custom orchestrators. Implement safety, validation, and ethical guardrails for autonomous AI behaviors. Deploy and scale LLMs and autonomous agents on cloud infrastructure (AWS, GCP, Azure) using Kubernetes, Docker, or serverless architectures. Automate CI/CD pipelines, model retraining, and monitoring for performance, drift, and reliability. Build retrieval-augmented generation (RAG) pipelines and task-oriented AI agents for enterprise applications. Integrate AI agents with APIs, chatbots, and knowledge management systems. Evaluate and adopt emerging frameworks (LangChain, LlamaIndex, Hugging Face Transformers) to accelerate agentic AI deployment. Optimize distributed training on GPUs/TPUs using DeepSpeed, Ray, or Horovod. Implement mixed-precision training, model sharding, and checkpointing strategies for high-performance inference. 5+ years in AI/ML engineering or applied research, with deep experience in LLMs, generative AI, or autonomous AI agents. ~ Strong programming skills in Python, PyTorch, TensorFlow, or JAX. ~ Hands-on experience with agentic AI, multi-step reasoning, and decision-making pipelines. ~ Knowledge of RAG, vector databases, embeddings, and autonomous task orchestration. ~ Experience deploying AI models in production with MLOps best practices. ~ AWS, GCP, or Azure. ~ Advanced degree in AI, Machine Learning, NLP, Computer Science, or related field. ~ If youre interested, get in touch ASAP with a copy of your most recent and up-to-date CV and email me at m.Please Note: This is a permanent role for UK residents only. Some of our roles may be subject to successful background checks including a DBS and Credit Check. TRG are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Our client is a leading multi-strategy hedge fund; seeking to hire an AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. This role offers the chance to work on impactful projects in a high-performance, data-driven environment. Utilise generative AI to process huge amounts of data Build and maintain robust AI tools and systems Collaborate closely with technical and non-technical teams to identify high-impact AI opportunities Ensure model scalability, performance, and reliability in live production environments 3+ years of software engineering experience, with recent experience developing AI/ML tools and applications ~ familiarity with high-performance computing is a plus ~ Financial industry experience is a bonus, but not required

Senior DevOps Engineer | London 2 days p/ week (max) | Paying 75-85K + Benefits | AWS, Terraform, Docker, Kubernetes, Python / Bash, Windows | Trading Company / FS Were working with an AI-driven Trading business helping streamline trade in emerging markets across 3rd world Countries. Youd join a small, tech-centric DevOps team supporting large, distributed infrastructure and focusing on automation, observability, scalability and reliability. Strong Cloud Experience with AWS Hands on experience with Windows Capable scripting / programming with Python & Bash Hybrid -Up to 2 Days a week in London Senior DevOps Engineer | London 2 days p/ week (max) | Paying 75-85K + Benefits | AWS, Terraform, Docker, Kubernetes, Python / Bash, Windows | Trading Company / FS

Senior Python Engineer | London Were partnering with a high-growth AI startup thats building intelligent automation systems designed to simplify complex, real-world operations. Their platform is already redefining how data, workflow, and human decision-making come together and theyre scaling fast. If youre excited by the idea of joining an elite engineering team tackling deep technical problems in AI, automation, and scalable software systems, this could be the role for you. As a Senior Python Engineer , youll take ownership of backend design and development, helping to shape the architecture behind cutting-edge AI-driven platforms. Youll work closely with AI and product teams to bring intelligent features into production solving high-impact problems with clean, scalable code. Architect, design, and build robust backend systems and APIs using Python. Collaborate with AI and data teams to integrate models into production environments. Optimise and scale distributed systems and data pipelines for performance and reliability. Maintain best practices for testing, CI/CD, and documentation. Strong academic foundation in Computer Science, Engineering, or related discipline. ~3+ years of professional experience in backend or software engineering. ~ Deep expertise in Python and frameworks such as FastAPI, Flask, or Django. ~ Proven experience building and scaling APIs in cloud environments (GCP, AWS, or Azure). ~ Bonus Points For: Experience in AI-driven or automation-heavy environments. Exposure to PropTech, data-heavy SaaS platforms, or real-world workflow automation. Competitive salary + equity options. The opportunity to help shape the foundation of a next-generation AI company.

Senior Data Engineer - AWS London | Hybrid (3 days in office) Full-time | Permanent 75,000 90,000 per annum About the Role Were seeking a technically skilled and commercially minded Senior Data Engineer with strong expertise in taking ownership over a product or task. This role sits within the Data Leadership Team and reports directly to the Head of Data. Youll play a key part in shaping and evolving the organisations event streaming analytics capability, ensuring there data ecosystem is future-proof, scalable, and impactful. Key Responsibilities Design and implement event-driven architectures to meet business needs Develop, deploy, and maintain scalable event streaming systems (including stream analytics) Ensure compliance with security standards and regulations Collaborate with cross-functional teams to integrate event data into wider systems Monitor and optimise system performance (latency, throughput, resource utilisation) Troubleshoot issues and deliver solutions for high availability and reliability What Were Looking For Experience ~4+ years in a senior technical role, ideally within data engineering ~ AWS stack: S3, EMR, EC2, Kinesis, Firehose, Flink/MSF ~ Python & SQL ~ Security and risk management frameworks ~ Excellent communication and collaboration skills Desirable Event streaming and event streaming analytics in real-world applications, or some exposure to Event streaming Architecture. Strong understanding of DevOps and CI/CD principles

Role: Staff Software Engineer (Rust & AI Inference) Location: London (23 days a week onsite) Compensation: Up to 160,000 + equity Were supporting an emerging deep tech company building high-performance infrastructure to support AI model deployment at scale. Theyre focused on enabling enterprises to run advanced AI systems in production, with a strong emphasis on privacy, performance, and full-stack control. This is a hands-on senior IC role for an engineer who thrives in low-latency, compute-intensive environments, and enjoys mentoring others. Youll play a key role in shaping the core inference layer powering complex real-time AI workflows. If you're excited by the challenge of optimising distributed systems, designing for reliability, and scaling cutting-edge AI applications, this could be the role for you. You'll be: Building scalable, low-latency LLM inference infrastructure Optimising performance with caching, quantisation, and speculative decoding Contributing to core systems in Rust (we are happy for individuals to lean this on the job) Designing distributed GPU orchestration and inference servers Mentoring engineers and influencing technical direction across the team You should bring: ~5+ years software engineering experience, with deep backend/system-level experience ~ Strong coding skills in a typed systems languages like C++ / Go / Rust (would also consider Python) ~ Familiarity with Kubernetes, and cloud infra ~ A strong engineering mindset with a bias for clean abstractions, reliability, and performance Bonus points for: Experience deploying open-source LLMs or VLMs in production Experience with ML inference systems, PyTorch, Triton, or CUDA kernels Background in document intelligence, enterprise search, or NLP pipelines Prior exposure to multi-agent systems or complex orchestration workflows This is a high-impact, high-autonomy role in a technically elite team thats pushing the boundaries of whats possible in AI infrastructure.