ai engineer

machine learning engineer

senior ai engineer

ai software engineer

analytics engineer

agentic ai engineer

Avanade

<div>
 We are seeking a highly skilled and innovative
 
 Lead Agentic AI Engineer
 
 to join our team and drive the design, development, and deployment of production-grade generative AI and agentic solutions using Microsoft technologies.
 
 
 This role is ideal for a technically strong engineer who has hands-on experience building AI solutions, orchestrating agentic workflows, implementing evaluation frameworks, and taking solutions into secure, scalable, and cost-optimised production environments using platforms such as
 
 Azure AI Foundry, Microsoft Agent Framework, and Copilot Studio.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Take ownership of technical solution design and architecture decisions, bringing clarity from ambiguous client requirements
 </li>
 <li>
 Act as the technical lead on projects, guiding implementation approach, engineering standards, and best practices
 </li>
 <li>
 Design, develop, and deploy Agentic AI and GenAI solutions in enterprise environments
 </li>
 <li>
 Lead end-to-end solution delivery, from discovery and design through implementation, deployment, and handover
 </li>
 <li>
 Make clear technical design decisions that support scalability, reliability, security, and maintainability
 </li>
 <li>
 Lead and mentor junior team members, helping them deliver high-quality outcomes and grow their technical capability
 </li>
 <li>
 Collaborate effectively with cross-functional teams in agile environments
 </li>
 <li>
 Manage technical stakeholders and client conversations, translating business needs into practical AI solution designs
 </li>
 <li>
 Support or lead pre-sales activities, including solution shaping, technical estimations, demos, proposals, and client discussions
 </li>
 <li>
 Lead implementation during delivery, ensuring the proposed solution is built to the agreed architecture and quality standards
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 :
 
 
 
 
 Core technical skills
 
 
 
 <ul>
 <li>
 Hands-on experience with LLMs such as OpenAI GPT, Claude, Gemini or Mistral
 </li>
 <li>
 Experience designing and building agentic AI solutions, including tool use, workflow orchestration, routing, memory, and multi-agent patterns
 </li>
 <li>
 Expertise in prompt engineering, structured outputs, and reliability patterns to optimise model performance
 </li>
 <li>
 Ability to implement evaluation frameworks for quality, grounding, task success, safety, latency, and cost
 </li>
 <li>
 Experience deploying AI solutions into production with focus on cost optimisation, scalability, observability, security, and governance
 </li>
 <li>
 Experienced in using Microsoft GenAI ecosystem, including M365, Copilot Studio, Azure AI Foundry, and Microsoft Agent Framework
 </li>
 <li>
 Proficient in Python and production-quality code practices
 </li>
 <li>
 Strong understanding of software engineering principles, architecture patterns, and delivery best practices
 </li>
 <li>
 Experience with API development using frameworks such as FastAPI, Flask, or Django
 </li>
 <li>
 Knowledge of Docker, containerised deployments, CI/CD, and cloud-native delivery patterns
 
 
 </li>
 </ul>
 
 
 What Will Make You Stand Out
 
 
 
 
 <ul>
 <li>
 Experience building, deploying, and evaluating multi-agent AI solutions, agent orchestration patterns, RAG architectures, and enterprise integrations
 </li>
 <li>
 Knowledge of agent communication protocols and interoperability patterns, such as MCP and A2A
 </li>
 <li>
 Ability to balance innovation with practical delivery considerations, including risk, cost, security, and production readiness
 </li>
 <li>
 Confidence contributing to pre-sales while also being able to lead implementation during delivery
 </li>
 <li>
 Curiosity and motivation to stay current with the latest advancements in GenAI, agentic AI, and AI engineering frameworks
 
 
 </li>
 </ul>
 
 
 Qualifications:
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Microsoft certified i.e. Azure AI Apps and Agents Developer Associate OR Agentic AI Business Solutions Architect
 
 
 </li>
 </ul>
 
 Enjoy your career
 
 
 
 Some of the best things about working at Avanade
 
 
 <ul>
 <li>
 Opportunity to work for Microsoft&rsquo;s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications)
 </li>
 <li>
 Real-time access to technical and skilled resources globally
 </li>
 <li>
 Collaborate with some of the brightest &ldquo;Microsoft minds&rdquo;
 </li>
 <li>
 Build your expertise, solve problems, learn, and develop
 
 
 </li>
 </ul>
 Find Out More About Some Of Our Benefits here.
 
 
 
 A great place to work
 
 
 
 As you bring your skills and abilities to Avanade, you&rsquo;ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You&rsquo;ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It&rsquo;s all here, so take a closer look!
 
 
 We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our Inclusion &amp; Diversity page.
 
 
 Create a future for our people that focuses on
 
 
 <ul>
 <li>
 Expanding your thinking
 </li>
 <li>
 Experimenting courageously
 </li>
 <li>
 Learning and pivoting
 
 
 </li>
 </ul>
 Inspire greatness in our people by
 
 
 <ul>
 <li>
 Empowering every voice
 </li>
 <li>
 Encouraging boldness
 </li>
 <li>
 Celebrating progress
 
 
 </li>
 </ul>
 Accelerate the impact of our people by
 
 
 <ul>
 <li>
 Amazing the client
 </li>
 <li>
 Prioritizing what matters
 </li>
 <li>
 Acting as one
 </li>
 </ul>
</div>

Lead Agentic AI Engineer

Understanding Recruitment

<div>
 
 
 AI Engineer &ndash; Agentic AI
 
 
 
 
 
 Want to build agentic AI that goes beyond prototypes and actually operates in high-stakes environments?
 
 
 
 
 
 
 
 This is a chance to build
 
 production AI systems from the ground up
 
 , with real ownership over architecture, model selection and deployment.
 
 
 
 
 
 What&rsquo;s in it for you?
 
 <ul>
 <li>
 Build
 
 agentic AI systems
 
 that interact with tools and take actions
 </li>
 <li>
 Work on challenging problems around
 
 reliability, security and controlled AI deployment
 
 </li>
 <li>
 Potential to work across
 
 multimodal AI, perception and real-time sensor data
 
 </li>
 <li>
 High levels of technical ownership from day one
 </li>
 <li>
 Competitive salary +
 
 equity
 
 </li>
 <li>
 
 7% pension
 
 , private healthcare and free daily meals
 </li>
 </ul>
 
 
 
 
 What you&rsquo;ll be doing
 
 <ul>
 <li>
 Building core
 
 agentic AI product features
 
 </li>
 <li>
 Designing LLM architectures and agent workflows
 </li>
 <li>
 Evaluating models and choosing the right approach for each problem
 </li>
 <li>
 Integrating AI into complex production software
 </li>
 <li>
 Deploying across
 
 cloud and on-premise environments
 
 </li>
 <li>
 Improving the security, reliability and testing of AI systems
 </li>
 <li>
 Potentially working with
 
 object detection and multimodal models
 
 </li>
 </ul>
 
 
 
 
 What you&rsquo;ll bring
 
 <ul>
 <li>
 Experience building
 
 ML or AI systems in production
 
 </li>
 <li>
 Hands-on experience with
 
 LLMs and agentic AI
 
 </li>
 <li>
 Strong
 
 Python, Rust, C++ or Java
 
 </li>
 <li>
 Experience with
 
 PyTorch, JAX or TensorFlow
 
 </li>
 <li>
 Exposure to
 
 LangGraph, Google ADK or similar
 
 </li>
 <li>
 Strong understanding of ML fundamentals and model trade-offs
 </li>
 </ul>
 
 
 
 
 Experience with
 
 MLOps, multimodal AI or constrained hardware
 
 is a bonus rather than a requirement.
 
 
 
 
 
 You&rsquo;ll need the
 
 right to work in the UK
 
 and be eligible for
 
 UK SC clearance
 
 . This is an
 
 office-first role
 
 with some flexibility.
 
</div>

AI Engineer - Agentic AI

Oliver Bernard

<div>
 
 🚀
 
 Staff AI Engineer | Stealth Mode AI Start-up | London | Up to &pound;200k
 
 
 
 
 
 
 Oliver Bernard have partnered with a
 
 stealth-mode start-up in the AI &amp; Research space
 
 , who are looking for a Staff AI Engineer to join the team and work on some genuinely challenging problems across LLMs, reinforcement learning and agentic systems.
 
 
 
 
 
 This is a hands-on research + engineering role, where you&rsquo;ll be involved in:
 
 
 
 
 
 🧠
 
 LLM training &amp; fine-tuning
 
 &ndash; including reinforcement learning and post-training
 
 
 🔄
 
 Evaluation &amp; feedback loops
 
 &ndash; building systems to continuously assess and optimise models
 
 
 🤖
 
 Agent development
 
 &ndash; designing and building sophisticated AI agents
 
 
 🔬
 
 AI research
 
 &ndash; exploring LLM training, RL, evaluation and optimisation techniques
 
 
 💻
 
 Software engineering
 
 &ndash; applying strong engineering fundamentals to complex AI problems
 
 
 
 
 
 
 What they&rsquo;re looking for:
 
 
 
 
 
 <ul>
 <li>
 Strong experience working with
 
 LLMs and/or foundation models
 
 </li>
 <li>
 Deep experience with
 
 training, fine-tuning, RL or post-training
 
 </li>
 <li>
 Strong background in
 
 model evaluation and optimisation
 
 </li>
 <li>
 Experience building
 
 AI agents / agentic systems
 
 </li>
 <li>
 Excellent software engineering fundamentals
 </li>
 <li>
 A strong track record in
 
 AI research
 
 and solving technically complex problems
 </li>
 </ul>
 
 
 
 
 📍
 
 London &ndash; 2 days hybrid
 
 
 
 💰
 
 Up to &pound;200k
 
 
 
 
 
 
 If you&rsquo;re a
 
 Staff-level AI Engineer
 
 who wants to work at the intersection of
 
 cutting-edge research and production engineering, apply below for more information.
 
 
 
 
 
 
 
 London | Stealth | Staff AI Engineer
 
 
</div>

Staff AI Engineer - Stealth Start-up - London

International SOS

<div>
 
 About The Role
 
 
 
 We are looking for an experienced Senior Machine Learning Engineer to join our Product team, in Chiswick, West London,
 
 
 You will be responsible for building production-grade AI capabilities across the platform&rsquo;s generative and agentic paradigms &ndash; from retrieval-augmented knowledge assistants and context-aware responses to multi-step agent workflows. The role combines strong machine learning and software engineering skills to deliver grounded, governed, and scalable solutions that move from Lab prototype to Factory production.
 
 
 This is an excellent opportunity for an experienced engineer, looking for their next move in a global organization.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement ML, generative, and agentic AI solutions &mdash; RAG pipelines, prompt workflows, tool-calling agents, and predictive models
 </li>
 <li>
 Build grounded retrieval over enterprise knowledge with source citation and tenant isolation
 </li>
 <li>
 Integrate models via the model gateway, applying guardrails, PII redaction, and content safety on every request
 </li>
 <li>
 Develop and maintain agent orchestration, memory, and human-in-the-loop escalation paths
 </li>
 <li>
 Perform data preprocessing, feature engineering, prompt design, and evaluation using enterprise datasets
 </li>
 <li>
 Deploy solutions through MLOps/LLMOps pipelines with monitoring, evaluations, and SLAs
 </li>
 <li>
 Optimise models and prompts for accuracy, latency, cost, and groundedness
 </li>
 <li>
 Run experiments, track metrics against golden sets, and iterate to improve quality
 </li>
 <li>
 Collaborate with AIOps and Security to integrate solutions into CI/CD and production monitoring
 </li>
 <li>
 Support responsible-AI practices, model cards, and version control for every release
 
 
 </li>
 </ul>
 
 About You
 
 
 
 6+ years in AI/ML engineering or applied machine learning
 
 
 Strong Python skills with scikit-learn, TensorFlow, PyTorch, or XGBoost, plus experience with LLM frameworks (LangChain/LangGraph) and RAG
 
 
 Experience with cloud AI services (AWS Bedrock/SageMaker, Azure, or GCP) and vector stores
 
 
 Proficiency in SQL and working with data warehouses/lakes and embeddings
 
 
 Familiarity with MLOps/LLMOps, containerisation (Kubernetes), and CI/CD
 
 
 Understanding of prompt engineering, evaluation harnesses, and guardrails
 
 
 Strong grasp of ML theory, software engineering practices, and version control (Git)
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive salary and incentive scheme
 </li>
 <li>
 Warm, supportive, and open company culture
 </li>
 <li>
 An opportunity to thrive in a global environment
 </li>
 <li>
 Hybrid working: 3 days in the office
 </li>
 <li>
 Birthday holiday and option to purchase additional annual leave
 </li>
 <li>
 Comprehensive Benefits Package: Private Pension, Private Medical Insurance, Life Assurance and more
 </li>
 </ul>
</div>

Senior Machine Learning Engineer

<div>
 
 
 Department:
 
 Data &amp; AI
 
 
 
 Location:
 
 UK - London
 
 
 
 
 Description
 
 
 
 Insurance isn&rsquo;t the first industry most engineers think of when they imagine cutting-edge AI work. That&rsquo;s exactly why this role is interesting.
 
 
 CFC&rsquo;s Data &amp; AI unit is building production agentic systems that automate complex underwriting decisions - not chatbots, not copilots bolted onto legacy workflows, but autonomous multi-step AI agents that reason over unstructured data, assess risk, and drive real business outcomes. We&rsquo;re using frameworks like LangChain to orchestrate LLM-driven services that sit at the heart of how the business operates. The problems are genuinely hard: ambiguous inputs, high-stakes decisions, and the kind of domain complexity that makes for satisfying engineering.
 
 
 We&rsquo;re also fundamentally rethinking how we deliver software. We&rsquo;re moving toward an agentic-first development model - using AI agents not just in what we build for the business, but in how we build it. The goal is to multiply engineering delivery by an order of magnitude: not by cutting corners or generating throwaway code, but by designing robust systems and processes that let agents handle well-defined work while engineers focus on architecture, design, and the problems that actually require human judgment. This is a deliberate, engineering-led approach. We care about code quality, testability, and maintainability - the agent-generated code meets the same standards as everything else. We expect that a successful candidate will be able to bring their expertise to help guide and refine our agentic development process as it matures - a meaningful opportunity to influence how we work as well as what we ship.
 
 
 This is a Senior Machine Learning / AI Engineer role with genuine technical leadership scope. You&rsquo;ll shape the architecture of AI-driven production microservices, own system design decisions, and work at the intersection of traditional software engineering and applied AI. You&rsquo;ll collaborate closely with engineers, data scientists, and product managers in a team that&rsquo;s small enough for your decisions to matter and ambitious enough for the work to stay interesting.
 
 
 
 About the role
 
 
 
 <ul>
 <li>
 Design, develop, and maintain business-critical AI agent services.
 </li>
 <li>
 Build tailored agent workflows and services from business requirements, using LangChain and related frameworks with reliable patterns for LLM-driven decision-making in production.
 </li>
 <li>
 Integrate tests and validation to improve AI agents through evals and monitoring.
 </li>
 <li>
 Work with software engineers and architects to lead system design and architectural decisions.
 </li>
 <li>
 Translate technical specifications into clean, testable, and scalable production code.
 </li>
 <li>
 Work closely with cross-functional teams - engineers, data scientists, product managers - to deliver features on time and to a high standard.
 </li>
 <li>
 Write unit and integration tests to maintain reliability and service correctness.
 </li>
 <li>
 Monitor, troubleshoot, and continuously improve production services.
 </li>
 <li>
 Produce clear, structured documentation for systems, architecture, and processes.
 </li>
 <li>
 Mentor junior engineers through code reviews, best-practice guidance, and knowledge sharing.
 
 
 </li>
 </ul>
 
 About you
 
 
 
 We&rsquo;re looking for an experienced AI or Machine Learning Engineer with strong software engineering fundamentals and a passion for building robust, production-ready AI systems. You&rsquo;ll be someone who enjoys solving complex technical problems, making thoughtful architectural decisions and working on systems where quality, reliability and maintainability really matter.
 
 
 You&rsquo;ll have:
 <ul>
 <li>
 Significant experience building production-grade AI agents or LLM-powered services.
 </li>
 <li>
 Strong Python development experience, ideally with 6+ years of professional software engineering experience.
 </li>
 <li>
 A track record of writing clean, maintainable and high-quality production code.
 </li>
 <li>
 Experience supporting business-critical systems in live production environments.
 </li>
 <li>
 Strong understanding of asynchronous programming, Docker, containerised deployments and modern service architectures.
 </li>
 <li>
 Experience designing distributed systems, asynchronous microservices and event-driven architectures.
 </li>
 <li>
 Confidence leading system design discussions and making pragmatic architectural trade-offs.
 </li>
 <li>
 Strong cloud experience, ideally within Azure.
 </li>
 <li>
 Experience deploying, monitoring and maintaining ML or LLM models in production.
 </li>
 <li>
 Familiarity with MLOps, LLMOps, evals, monitoring and lifecycle management.
 </li>
 <li>
 Hands-on experience orchestrating LLM workflows using frameworks such as LangChain.
 </li>
 <li>
 An interest in how agentic software development can improve engineering delivery without compromising code quality.
 </li>
 <li>
 Strong communication skills and the ability to collaborate effectively in remote or asynchronous environments.
 </li>
 <li>
 An ownership mindset, with the ability to work independently and contribute effectively to shared codebases.
 
 
 </li>
 </ul>
 
 Core Values
 
 
 
 
 Love what you do:
 
 
 We show up each day ready to take on the world. Our passion and intensity set us apart and makes the difference to our colleagues, customers, brokers and carriers.
 
 
 
 Challenge everything:
 
 
 We&rsquo;re never afraid to question the way that things are done and we constantly challenge ourselves and others to makes things better.
 
 
 
 Have fun, be good:
 
 
 Insurance is a serious business, but we don&rsquo;t take ourselves too seriously. We make it fun to work at CFC, we welcome all viewpoints, and we treat everyone how we would expect to be treated.
</div>

BigHand

<div><h5 class="jobSectionHeader">About BigHand</h5> 
BigHand offers technology solutions for busy legal professionals that provide data and insights to increase value and profits. Through our expert knowledge and innovative technology, we enable our customers to achieve enhanced efficiency, better decision-making and harness their competitive edge.
We build with tomorrow in mind, transforming ideas into action and empowering our customers to succeed in a world of constant change. We make big happen for our customers.
We are a business driven by our values and have these at the centre of everything we do. Our BigHanders are dedicated to building a culture where We Win Together, We Love to Learn, We Do the Right Thing, We Own It and We Find the Fun.<h5 class="jobSectionHeader"> 
About the role</h5> 
BigHand builds software that legal organisations rely on every day. We are looking for a Full-Stack Engineer to help us design and ship our Matter Pricing products after our acquisition of Ayora AI, where a clean, considered user interface meets genuinely intelligent behaviours underneath.<div>
This is a hands-on role for a Full-Stack Software Engineer who wants their work in production rather than as proof of concept. You will build the conventional and agentic AI experiences that showcase the product, contribute to how problems are framed as well as how they are solved, and take real ownership of the quality of what we release.</div><h5 class="jobSectionHeader"> 
What you&rsquo;ll do 
 
</h5><ul><li>Build and ship features end to end, from interface through to backend services and data.</li><li>
Design clean, minimal user experiences with close attention to detail, working alongside design and product.</li><li>
Explore and apply agentic AI and LLM capabilities where they meaningfully improve the product and work safely and efficiently with agentic engineering systems.</li><li>
Contribute to technical discussion and help refine requirements rather than simply consuming them.</li><li>
Deliver consistently within a collaborative agile framework, with a track record of predictable, high-quality output.</li><li>
Develop well-constructed solutions using the best tools available, avoiding fragile shortcuts taken for short-term speed or to sidestep discussion.</li><li>
Apply modern software development lifecycle practices, including code review, testing and continuous delivery.</li></ul><h5 class="jobSectionHeader">
What we&rsquo;re looking for 
 
</h5><ul><li>Strong TypeScript and React skills, with competency in at least one of our core backend languages (Python and/or Go) or a highly transferable equivalent.</li><li>
At least three years of commercial work experience.</li><li>
An analytical background, evidenced by a STEM degree in a technical subject. Physical sciences or mathematics are preferred.</li><li>
Interest and practical experience with agentic AI and LLMs, and with the intersection between conventional UI and agentic processes.</li><li>
Experience working safely and efficiently with agentic engineering systems.</li><li>
Experience with design and UX, with a keen eye for detail and for minimalist, clean interfaces.</li><li>
A solid understanding of modern software development lifecycle practices.</li><li>
The ability to navigate typical problems independently, contribute to discussion and help shape technical requirements.</li></ul><div><div> 
Desirable</div><div><ul><li> 
An insatiable appetite for learning and for acquiring new knowledge, skills and experience.</li><li>
Comfort operating independently on both existing and new systems while preserving and improving a consistent project structure.</li><li>
A positive force in building the team as we grow and develop into more senior positions.</li><li>
A habit of introducing new technology and practices that accelerate the team, for example through lunch and learn sessions.</li><li>
Exposure to our DevOps stack: AWS, Terraform and GitLab CI.</li><li>
Experience in the legal industry or another regulated environment such as health or financial services.</li><li>
Experience working directly with customers.</li></ul></div></div><h5 class="jobSectionHeader"> 
What we offer</h5><ul><li>
25 days holiday (exc. bank holidays) + 3 BigHand days off between Christmas &amp; New Year</li><li>
Various wellbeing benefits including private medical, vision, online wellbeing programs &amp; webinars, access to online therapy and Employee Resource Groups (ERG)</li><li>
Company-wide Wellness day, for our teams all across the globe to switch off and spend the day doing something to nourish their mental health</li><li>
Opportunities to give back with company volunteer events and individual volunteer days</li><li>
Career growth opportunities and study leave allowance</li><li>
Family benefits including enhanced parental leave, secondary caregiver leave and fertility support</li><li>
Financial benefits including pension scheme, life assurance, and salary sacrificing</li><li>
Cycle to Work Scheme and Tech Scheme</li><li>
Growing business with a global presence, flexible working, modern offices, and remote work options</li></ul><h5 class="jobSectionHeader">
Our DEI Commitment</h5>
We welcome the unique value and individuality that you can bring to BigHand. We are an equal opportunity employer and are dedicated to recruiting solely based on capability and potential regardless of race, gender, sexual orientation, gender identity or expression, age, educational background, national origin, religion, military status or physical ability. Our BigHanders are dedicated to advancing our culture of belonging by embracing differing viewpoints, opinions, thoughts, and ideas.</div>

Software Engineer

La Fosse

<div>
 
 
 Senior AI Engineer
 
 
 <ul>
 <li>
 
 Paying up to &pound;110,000 + 10 % Bonus
 
 </li>
 <li>
 
 Hybrid working &ndash; Central London (1 day per week)
 
 </li>
 <li>
 
 Leading FinTech Organisation
 
 </li>
 </ul>
 
 
 
 
 I'm partnering with a market-leading fintech business to hire a
 
 Senior AI Engineer
 
 into a high-impact AI Engineering team. This is an opportunity to lead the design and delivery of production-grade AI systems that are embedded into core business operations, helping shape how AI is adopted across the organisation.
 
 
 
 
 
 If you're passionate about LLMs, AI agents and building enterprise-scale AI solutions, this is a chance to own the technical direction and deliver AI products that create genuine business value.
 
 
 
 
 
 
 The Business
 
 
 <ul>
 <li>
 Leading fintech organisation with AI at the heart of its technology strategy.
 </li>
 <li>
 Significant investment into Generative AI, Machine Learning and cloud technologies.
 </li>
 <li>
 Collaborative engineering culture with a strong focus on innovation and technical excellence.
 </li>
 <li>
 Opportunity to influence AI strategy and shape the future of enterprise AI delivery.
 </li>
 <li>
 Modern technology environment with ambitious plans for AI adoption.
 </li>
 </ul>
 
 
 
 
 
 The Role
 
 
 <ul>
 <li>
 Build production-grade applications using LLMs and AI agents.
 </li>
 <li>
 Lead AI projects from concept through to deployment and adoption.
 </li>
 <li>
 Define engineering standards, reusable frameworks and best practices for AI development.
 </li>
 <li>
 Make key technical decisions across models, tooling, infrastructure and system design.
 </li>
 <li>
 Ensure AI solutions are scalable, secure, observable and production-ready.
 </li>
 </ul>
 
 
 
 
 
 What They're Looking For
 
 
 <ul>
 <li>
 Proven experience delivering production AI systems from design through to deployment.
 </li>
 <li>
 Strong expertise with Generative AI, LLMs and agentic AI architectures.
 </li>
 <li>
 Excellent software engineering skills across APIs, cloud platforms and distributed systems.
 </li>
 <li>
 Ability to influence engineering standards across multiple teams.
 </li>
 <li>
 Experience with AI platforms, LLMOps or MLOps would be highly beneficial.
 </li>
 <li>
 Background delivering AI solutions within enterprise or regulated environments is desirable.
 </li>
 </ul>
 
 
 
 
 This is an outstanding opportunity to join a business making significant investment in AI, where you'll play a pivotal role in defining technical strategy, building enterprise-scale AI solutions and driving innovation across the organisation.
 
 
 
 
 
 If you feel like you would be a good match, please apply with your CV to find out more.
 
 
 
 
 
 
 Senior AI Engineer
 
 
</div>

Senior AI Engineer

Explore 187+ Agentic ai engineer in London this August. Find roles across top companies and apply now to boost your career.

187 agentic ai engineer jobs In London

Lead Agentic AI Engineer

AI Engineer - Agentic AI

Staff AI Engineer - Stealth Start-up - London

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Software Engineer

Senior AI Engineer