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intelligence engineer

Adria Solutions Ltd

<div>
 
 AI Engineer (Agentic AI) &ndash; Applied AI in Production
 
 
 
 
 
 We&rsquo;re looking for a
 
 hands-on AI Engineer
 
 to build real-world AI systems that deliver measurable impact across customer journeys and internal operations. This role is all about turning emerging AI capabilities-LLMs, agentic systems, ML models, workflows, and AI services-into robust, production-ready solutions.
 
 
 
 
 
 What You&rsquo;ll Do
 
 <ul>
 <li>
 Design, build, and integrate AI applications into end-to-end workflows.
 </li>
 <li>
 Embed agentic AI into customer and operational processes with reliability, resilience, and safe fallback behavior.
 </li>
 <li>
 Collaborate with Product, Engineering, Data, and Operations to take AI solutions from concept to production.
 </li>
 <li>
 Establish best practices for orchestration, testing, monitoring, and operational safeguards.
 </li>
 <li>
 Evaluate emerging AI capabilities and translate them into practical, high-value implementations.
 </li>
 </ul>
 
 
 
 
 What We&rsquo;re Looking For
 
 <ul>
 <li>
 Strong software engineering background (Python), with experience delivering production AI or ML-integrated systems.
 </li>
 <li>
 Hands-on experience with LLMs, AI services, or agentic AI frameworks.
 </li>
 <li>
 Practical understanding of AI production concerns: latency, resilience, observability, safety, and maintainability.
 </li>
 <li>
 Systems thinker who collaborates effectively across teams and communicates clearly.
 </li>
 <li>
 Passion for applied AI and agentic systems, with a focus on turning capabilities into tangible outcomes.
 </li>
 </ul>
 
 
 
 
 
 Bonus if you have:
 
 AWS AI/ML experience, building autonomous workflows, regulated industry exposure, or contributions to the AI community.
 
 
 
 
 
 Join us and help shape the future of AI-driven systems in a fast-moving, hands-on environment.
 
 
 
 
 
 Interested? Please Click Apply Now
 
 
 
 
 
 AI Engineer (Agentic AI) &ndash; Applied AI in Production
 
</div>

Artificial Intelligence Engineer

Maxwell Bond

<div>
 
 
 AI Systems Engineer
 
 
 
 
 Location:
 
 Hybrid (Manchester)
 
 
 
 Salary:
 
 &pound;60,000 - &pound;75,000
 
 
 
 
 
 
 The Opportunity
 
 
 
 
 
 
 This is a great opportunity for an experienced Software Engineer with hands-on experience building AI-powered products and systems.
 
 
 
 
 
 This is not a traditional Machine Learning or Data Science role. You won't be training foundation models or developing new LLM architectures. Instead, you'll be focused on designing and building the software systems that leverage modern AI technologies to solve real-world business problems.
 
 
 
 
 
 You'll work on AI-native products, intelligent workflows, retrieval systems, agentic architectures and automation platforms, helping shape the next generation of AI-powered software.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 
 
 <ul>
 <li>
 Designing and building AI-powered applications and services
 </li>
 <li>
 Developing intelligent workflows and agentic systems
 </li>
 <li>
 Integrating LLMs into production software products
 </li>
 <li>
 Building retrieval, context and memory systems
 </li>
 <li>
 Designing robust APIs and backend services
 </li>
 <li>
 Evaluating AI performance, reliability and quality
 </li>
 <li>
 Implementing monitoring, testing and fallback mechanisms for AI-driven features
 </li>
 <li>
 Working closely with engineering leadership to define best practices for AI-native development
 </li>
 <li>
 Contributing to architectural decisions across a modern cloud-based platform
 </li>
 </ul>
 
 
 
 
 
 Experience and Skills
 
 
 
 
 
 
 
 Essential
 
 
 
 
 
 <ul>
 <li>
 Strong commercial experience as a Software Engineer, Backend Engineer or Full Stack Engineer
 </li>
 <li>
 Experience building applications that utilise Large Language Models (LLMs)
 </li>
 <li>
 Experience designing and delivering production-grade software systems
 </li>
 <li>
 Strong understanding of software architecture and system design principles
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure or GCP)
 </li>
 <li>
 Strong programming skills in TypeScript, Python or similar modern languages
 </li>
 <li>
 Experience integrating external APIs and services
 </li>
 <li>
 Ability to make pragmatic technical decisions and communicate trade-offs
 </li>
 </ul>
 
 
 
 
 
 Highly Desirable
 
 
 
 
 
 <ul>
 <li>
 Experience building AI agents or agentic workflows
 </li>
 <li>
 Experience with Retrieval Augmented Generation (RAG)
 </li>
 <li>
 Experience working with vector databases and semantic search
 </li>
 <li>
 Knowledge of context management and memory architectures
 </li>
 <li>
 Experience evaluating and testing AI outputs in production environments
 </li>
 <li>
 Experience designing AI-assisted automation systems
 </li>
 <li>
 Exposure to frameworks and tooling within the modern AI ecosystem
 </li>
 </ul>
 
 
 
 
 
 Who This Will Suit
 
 
 
 
 
 
 This role would suit someone who has moved beyond simply using AI tools in their development workflow and has experience building software products that actively leverage AI capabilities. You may currently be working as:
 
 
 
 
 <ul>
 <li>
 Senior Software Engineer
 </li>
 <li>
 Backend Engineer
 </li>
 <li>
 Full Stack Engineer
 </li>
 <li>
 AI Systems Engineer
 </li>
 <li>
 Applied AI Engineer
 </li>
 <li>
 Platform Engineer with AI experience
 </li>
 </ul>
 
 
 
 
 Most importantly, you'll be excited by the challenge of building reliable, scalable software systems that incorporate AI as a core part of the product experience.
 
 
 
 
 
 
 Why Apply?
 
 
 
 
 
 <ul>
 <li>
 Work on genuinely innovative AI-native products
 </li>
 <li>
 Influence technical direction and architecture
 </li>
 <li>
 Join a team investing heavily in modern AI technologies
 </li>
 <li>
 Solve complex engineering challenges at scale
 </li>
 <li>
 Opportunity to help shape the future of AI-enabled software development
 </li>
 </ul>
 
 
 
 
 They are committed to moving quickly on this with interview slots available.
 
 
 
 
 
 Please apply today.
 
</div>

Tata Consultancy Services

<div>
 
 
 **If you need support in completing the application or if you require a different format of this document, please get in touch at
 
 
 
 UKI.recruitment@tcs.com
 
 
 
 or call TCS London Office number
 
 
 
 02031552100
 
 
 
 with the subject line:&ldquo;Application Support Request&rdquo;.**
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Role:
 
 AI Engineer
 
 
 
 Job Type:
 
 Permanent
 
 
 
 Location:
 
 Manchester
 
 
 
 
 
 
 
 
 
 
 
 
 
 Ready to apply your
 
 experience and expertise in AI engineering?
 
 
 
 We have an exciting opportunity for you &mdash;
 
 AI Engineer!
 
 
 
 
 
 
 
 
 
 
 
 
 
 Careers at TCS: It means more
 
 
 
 TCS is a purpose‑led transformation company, built on belief. We do not just help businesses transform through technology. We support them in making a meaningful difference to the people and communities they serve &ndash; our clients include some of the biggest brands in the UK and worldwide.
 
 
 &bull; Apply your AI engineering expertise to solve complex, real‑world problems.
 
 
 &bull; Collaborate with diverse teams to build scalable, high‑impact solutions.
 
 
 &bull; Drive innovation by experimenting with emerging AI technologies.
 
 
 
 
 
 
 The Role
 
 
 
 As an
 
 AI/ML Engineer
 
 , you will design, build and optimise scalable AI workflows and intelligent systems that enhance enterprise processes and customer experiences. You will work closely with cross‑functional teams, lead solution development, and ensure best‑practice implementation across model design, performance optimisation and integration.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and implement AI workflows and high‑performing ML models.
 </li>
 <li>
 Build solutions using LangChain for agent‑based and RAG‑driven architectures.
 </li>
 <li>
 Optimise and scale AI/ML models for reliability and efficiency.
 </li>
 <li>
 Apply prompt‑engineering techniques to improve LLM outputs.
 </li>
 <li>
 Collaborate with cross‑functional teams to translate business requirements into technical solutions.
 </li>
 <li>
 Communicate insights and recommendations to stakeholders.
 </li>
 <li>
 Stay current with AI/ML trends, tooling and best practices.
 </li>
 </ul>
 
 
 
 
 
 Your Profile
 
 
 
 
 Essential Skills / Knowledge / Experience
 
 
 <ul>
 <li>
 Strong hands‑on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit‑learn).
 </li>
 <li>
 Experience with Vertex AI, Gemini, Azure OpenAI, Cloud Vision or similar platforms.
 </li>
 <li>
 Proficiency in Python (with optional experience in R or Java).
 </li>
 <li>
 Solid understanding of data structures, algorithms and statistical modelling.
 </li>
 <li>
 Proven experience delivering end‑to‑end AI/ML projects.
 </li>
 <li>
 Excellent analytical, problem‑solving and communication skills.
 </li>
 <li>
 Strong collaboration experience within multi‑disciplinary teams.
 </li>
 </ul>
 
 
 
 
 
 Desirable Skills / Knowledge / Experience
 
 
 <ul>
 <li>
 Familiarity with LangChain and RAG systems.
 </li>
 <li>
 Experience with cloud platforms (Google Cloud, Azure).
 </li>
 <li>
 Knowledge of prompt‑engineering methods.
 </li>
 <li>
 Exposure to multi‑agent orchestration frameworks.
 </li>
 <li>
 Understanding of ethical and Responsible AI practices.
 </li>
 </ul>
 
 
 
 
 
 Rewards &amp; Benefits
 
 
 
 TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.
 
 
 We offer health &amp; wellness initiatives and sports events; we are the proud sponsor of the London Marathon.
 
 
 
 Diversity, Inclusion and Wellbeing
 
 
 
 Tata Consultancy Services UK&amp;I is committed to meeting the accessibility needs of all individuals in accordance with the UK Equality Act 2010 and the UK Human Rights Act 1998.
 
 
 We welcome and embrace diversity in race, nationality, ethnicity, disability, neurodiversity, gender identity, age, physical ability, gender reassignment, sexual orientation. We are a disability inclusive employer and encourage disabled people to apply for this role.
 
 
 As a Disability Confident Employer, we offer an interview to applicants with disabilities or long-term conditions who meet the minimum criteria for the role. Please email us at
 
 UKI.recruitment@tcs.com
 
 if you would like to opt in.
 
 
 If you are an applicant who needs any adjustments to the application process or interview, please contact us
 
 at UKI.recruitment@tcs.com
 
 with the subject line: &ldquo;Adjustment Request&rdquo; or call
 
 TCS London Office 02031552100 / +44 204 520 2575
 
 to request an adjustment. We welcome requests prior to you completing the application and at any stage of the recruitment process.
 
 
 
 
 
 
 Next Steps:
 
 
 
 
 Application Process
 
 
 <ol>
 <li>
 
 Online application:
 
 You can apply directly through LinkedIn/ by uploading your CV. In case you wish to submit your application via another format like audio/video, please, contact - UKI.recruitment@tcs.com
 </li>
 <li>
 
 Skill-Based discussion:
 
 This will be a level 1 interview with the project team, it can be via video or in-person. Details will be confirmed by your recruiter.
 </li>
 <li>
 
 Managerial discussion:
 
 This discussion will focus on behavioural aspects and person-organisation fit.
 </li>
 <li>
 
 HR Discussion
 
 : This will be with one of the members of the HR team and will cover your career journey, aspirations for growth, compensation and any other questions you may have.
 </li>
 </ol>
 
 
 
 
 
 Beware of Fraudulent offers
 
 
 
 This is to notify you that TCS does not ask for any sort of payment or security deposit from candidates at any stage of the recruitment process. The firm never sends out job offers from free internet email services like Gmail, Yahoo Mail, and so on. TCS has not authorised any third-party company to collect money on their behalf. As a vigilant job seeker, beware of fraudulent recruitment activity and protect your interests! You can write to
 
 UKI.recruitment@tcs.com
 
 to report any fraudulent activity.
 
 
 Due to the high volume of applications, we will be unable to contact each applicant individually on the status of their application. If you have not received a direct response within 30 days, then it should be deemed unsuccessful on this occasion.
 
 
 
 
 
 
 Join us and do more of what matters. Apply online now.
 
 
</div>

AI Engineer

Frontier Resourcing

<div>Infrastructure Engineer - eDV Cleared
<h1 class="jobSectionHeader">Gloucester | Manchester | London
</h1>We're supporting a leading organisation operating at the forefront of National Security, Defence and Cyber Security in the search for an experienced Infrastructure Engineer.
This is an opportunity to work on highly secure, mission-critical platforms that support some of the UK's most important defence, intelligence and cyber programmes. You'll join teams delivering cutting-edge capabilities across DevSecOps, Artificial Intelligence, Machine Learning, Cyber Security and Geospatial Intelligence, working with modern technologies in complex operational environments.
Due to the nature of the work, candidates must already hold active eDV clearance .
<h2 class="jobSectionHeader">The Role
</h2>As an Infrastructure Engineer, you'll play a key role in the delivery, support and continuous improvement of secure enterprise-scale systems. Working within Agile and DevOps teams, you'll be responsible for maintaining operational platforms, resolving technical issues and contributing to the design and implementation of infrastructure solutions.
This role offers exposure to a broad technology stack and the opportunity to work alongside highly skilled engineers on complex technical challenges.
<h2 class="jobSectionHeader">Key Responsibilities
</h2><ul><li>Support and maintain secure operational infrastructure and environments.
</li><li>Perform system administration, maintenance and backup activities.
</li><li>Investigate and resolve infrastructure, application and network-related issues.
</li><li>Contribute to the installation, configuration and ongoing improvement of systems.
</li><li>Assist with infrastructure design, implementation and technical problem-solving.
</li><li>Translate customer and project requirements into practical technical solutions.
</li><li>Work closely with engineering and project teams to support successful delivery.
</li></ul><h2 class="jobSectionHeader">Essential Experience
</h2><ul><li>Active eDV clearance.
</li><li>Experience working within Agile, Scrum or DevOps delivery environments.
</li><li>Background supporting complex software-intensive or infrastructure-focused programmes.
</li><li>Strong Linux administration and deployment experience.
</li><li>Understanding of enterprise server, storage and desktop technologies.
</li><li>Experience working across the full systems engineering lifecycle, from requirements through to delivery and customer acceptance.
</li><li>Ability to take ownership of technical deliverables and work effectively with wider project teams.
</li></ul><h2 class="jobSectionHeader">Desirable Skills
</h2>Experience with any of the following technologies would be advantageous:
<ul><li>Red Hat Enterprise Linux (RHEL) / CentOS
</li><li>Windows Server and Active Directory
</li><li>VMware vSphere / ESXi
</li><li>Terraform and Ansible
</li><li>Docker and Kubernetes
</li><li>AWS or Azure
</li><li>Elasticsearch / Kibana
</li><li>MongoDB
</li><li>Apache Kafka
</li><li>Helm
</li><li>Concourse CI/CD
</li><li>Atlassian toolset (Jira, Confluence, Bitbucket)
</li><li>Infrastructure as Code (IaC)
</li><li>Networking and infrastructure monitoring
</li><li>TOGAF or MODAF architecture frameworks
</li><li>Enterprise-scale web applications and services
</li></ul><h2 class="jobSectionHeader">What's on Offer
</h2><ul><li>Work on genuinely mission-critical National Security programmes.
</li><li>Exposure to modern cloud, DevOps and containerisation technologies.
</li><li>Opportunity to work alongside experts across cyber, AI, infrastructure and software engineering disciplines.
</li><li>Challenging technical environment with significant scope for growth and development.
</li><li>Locations available in Gloucester, Manchester or London.
</li></ul><div>Benefits:
<ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on top of salary and annual bonus
</li><li>Company bonus scheme
</li><li>Contributory Pension Scheme (up to 10.5% company contribution)
</li><li>6 times salary &lsquo;Life Assurance&rsquo; with pension
</li><li>25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days</li></ul></div></div><div></div>

eDV Infrastructure Engineer | Linux | Kubernetes | Terraform | AWS/Azure

Bally's Interactive

<div>Lead Ai Engineer

Location : Hybrid working 3 days a week in the Manchester Office

Who we are

Bally&rsquo;s Interactive is the digital arm of one of the world&rsquo;s leading entertainment providers, with tens of millions of players across the globe and an unmatched ecosystem of products spanning across the sports betting, iGaming, free-to-play, and daily fantasy spectrum.

Our brands and sites include market movers and shakers like Bally Bet, Vera&amp;John, Virgin Games, Jackpotjoy and many more. We make our mark by embracing the diversity of our global team, challenging ourselves, and striving to make a difference for our players. 


Well, what about the team?

As Lead AI Engineer, you'll play a pivotal role in shaping the future of AI across our products. Leading a newly established AI Engineering function, you'll bridge cutting-edge research with production engineering, ensuring innovative AI capabilities become scalable, reliable features used by millions of players.

You'll lead a multidisciplinary team responsible for developing and delivering AI-powered experiences across personalisation, recommendations, intelligent search, AI agents and content discovery. Working closely with product, engineering and data teams, you'll define technical direction, establish engineering best practices and help build a high-performing team capable of delivering AI solutions at scale.

This is a hands on leadership role where you'll combine technical expertise with people leadership. You'll mentor and develop engineers, influence architecture and technical strategy, and remain close to the code, leading by example on the most complex technical challenges. 


So, what will you be doing?
<ul>
<li>Significant commercial software engineering experience, including experience leading technical teams or engineering functions.
</li><li>Strong expertise in TypeScript and Python, with a proven track record of delivering AI, machine learning or data-driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM-powered applications.
</li><li>Extensive experience building and operating cloud-native applications on AWS, with strong knowledge of CI/CD, infrastructure as code, observability and modern engineering practices.
</li><li>Experience delivering high-performance, real-time systems that operate reliably at scale with demanding latency requirements.
</li><li>Demonstrated experience leading the successful transition of AI solutions from research or proof of concept into robust, production-ready services.
</li><li>Experience establishing technical standards, driving engineering excellence and mentoring or developing engineers within high-performing teams.</li></ul> 


And what will you need?

Experience:
<ul>
<li>Significant commercial software engineering experience, including experience leading technical teams or engineering functions.
</li><li>Strong expertise in TypeScript and Python, with a proven track record of delivering AI, machine learning or data-driven solutions into production, including recommendation engines, intelligent search, ranking systems or LLM-powered applications.
</li><li>Extensive experience building and operating cloud-native applications on AWS, with strong knowledge of CI/CD, infrastructure as code, observability and modern engineering practices.
</li><li>Experience delivering high-performance, real-time systems that operate reliably at scale with demanding latency requirements.
</li><li>Demonstrated experience leading the successful transition of AI solutions from research or proof of concept into robust, production-ready services.
</li><li>Experience establishing technical standards, driving engineering excellence and mentoring or developing engineers within high-performing teams.</li></ul> 


Skills &amp; Behaviours:
<ul>
<li>A technical leader who enjoys building, mentoring and developing engineering teams while creating an environment where innovation can thrive.
</li><li>Able to balance experimentation with engineering discipline, making sound technical decisions that deliver long-term value.
</li><li>Confident leading technical discussions, influencing architecture and making complex decisions across multiple stakeholders.
</li><li>Passionate about building scalable, maintainable and observable AI systems using modern engineering best practices.
</li><li>Excellent communication and collaboration skills, with the ability to work effectively across engineering, product, data and leadership teams.
</li><li>Comfortable remaining hands-on with technology while providing strategic technical leadership and direction.</li></ul> 


This is what you'll get:

(different benefits packages are tailored to fit each location, but here&rsquo;s a taste of what may be on offer)
<ul>
<li>Annual leave</li>
<li>Pension plan</li>
<li>Health insurance</li>
<li>Company share scheme</li>
<li>Volunteering days</li>
<li>Home office allowance</li>
<li>Wellness or Gym allowance</li></ul> 


DNA / Values

At Bally&rsquo;s Interactive, we are driven by a set of core values that we like to call our DNA. We strive to embody our DNA and keep them at the heart of everything we do!

We are Always Ready to embrace change, adapt, and do what it takes to delight our customers. We believe that You Make the Difference, which is what gives our players the best experience and keeps them coming back. We are All One Team, looking out for each other, respecting diversity while connecting through a common purpose. Our teams are Learning Every Day by showing constant curiosity and the drive to learn from successes, mistakes, new experiences, and the people around us. At Bally&rsquo;s we Love to Lead by thinking differently, seeking innovation, and always looking for ways to raise our game. 


Equal Opportunities

At Bally&rsquo;s Interactive, we are committed to promoting equal opportunities in employment and working conditions.

Diversity, Equity and Inclusion are important to us, and we encourage a culture where everyone can be themselves at work. We believe passionately that employing a diverse workforce is central to our success, this is our superpower.

We do not discriminate against employees or job applicants on the basis of race, colour, nationality, ethnic or national origin, age, sex or sexual orientation, gender reassignment, religion or belief, marital or civil partner status, pregnancy or maternity, political opinion or disability.</div>

Lead Ai Engineer (AI/ML/R&D)

Deloitte

<div>
 
 Role:
 
 AI Engineers
 
 
 
 Location:
 
 Manchester &ndash; 4 days on client site
 
 
 
 Start Date:
 
 July
 
 
 
 Daily Rate:
 
 Inside IR35
 
 
 
 Payroll provider:
 
 Rockford Payroll
 
 Info for Contingent Workers &ndash; Rockford Pay
 
 
 
 Contract to Perm opportunity &ndash; Based on performance the client may choose to offer associates a permanent role, subject to performance and requirement.
 
 
 This is an exciting opportunity to join Deloitte Operations for an engagement with one of our clients.
 
 
 
 Key Responsibilities
 
 
 
 &Acirc;&middot; AI Agentic Application Development &amp; System Implementation
 
 
 &Acirc;&middot; Build and deploy Generative AI applications, including LLM-powered copilots, assistants, RAG pipelines, and agentic workflows
 
 
 &Acirc;&middot; Implement end-to-end AI application logic, including prompt orchestration, tool integration, API interactions, and response handling
 
 
 &Acirc;&middot; Develop and integrate LLM-based solutions using frameworks such as LangChain or LangGraph
 
 
 
 Experience &amp; Skills Required
 
 
 
 &Acirc;&middot; AI Agentic Application Development &amp; System Implementation
 
 
 &Acirc;&middot; Build and deploy Generative AI applications, including LLM-powered copilots, assistants, RAG pipelines, and agentic workflows
 
 
 &Acirc;&middot; Implement end-to-end AI application logic, including prompt orchestration, tool integration, API interactions, and response handling
 
 
 &Acirc;&middot; Develop and integrate LLM-based solutions using frameworks such as LangChain or LangGraph
</div>

AI Engineers

C-Serv

<div>Most engineers get to use large language models. You will get to build the systems that run them in production, at scale, under real latency and reliability constraints, for one of the most recognised names in application security and traffic management.
Our client is expanding its AI Core group and is looking for a Senior or Staff AI &amp; ML Engineer in the UK. This is hands-on, build-focused work at the centre of how the business turns generative AI from a prototype into a dependable product. You will design and ship multi-agent systems, retrieval-augmented generation pipelines, anomaly detection, fine-tuned models, and the real-time inference layer that serves them.
If you want ownership over a serving stack rather than a single notebook, and you want your work measured by what holds up in production rather than what demos well, this is the seat.
What you will own<ul><li>Building and shipping generative AI features end to end: from model selection and fine-tuning through to the inference path that serves them.</li><li>Designing multi-agent and RAG architectures, and anomaly detection, that are accurate, observable, and cost-aware at scale.</li><li>Owning the real-time inference layer on Triton and TensorRT, optimising for latency, throughput, and GPU efficiency.</li><li>Standing up the surrounding microservices in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Setting the technical bar: making architecture decisions, raising code quality, and mentoring engineers around you.</li><li>Partnering with research and product teams to take ideas from experiment to a service customers depend on.</li></ul> 
Requirements<ul><li> 
5 to 10 years of relevant experience, including a proven track record as a technical lead who mentors others.</li><li>Strong, current Python engineering, with production services built and shipped (FastAPI or similar).</li><li>Genuine hands-on GenAI depth: LLMs, RAG, agentic or multi-agent workflows, anomaly detection, and fine-tuning (for example LoRA or PEFT).</li><li>Real-time inference experience with NVIDIA Triton and TensorRT, with real attention to latency, throughput, and cost.</li><li>A microservices mindset, with services built in Python and FastAPI, containerised and orchestrated for reliability.</li><li>Solid grounding in Docker and Kubernetes, and large-scale distributed systems on a major cloud.</li><li>Right to work in the UK. We welcome applications from all backgrounds and are committed to equal opportunity.</li></ul>
Nice to have<ul><li>Experience with vLLM or other serving frameworks alongside Triton and TensorRT.</li><li>Experience in security, networking, or other high-reliability domains.</li><li>Big-data tooling (Spark, Databricks, Snowflake) and modern MLOps practice.</li></ul>
What you will get<ul><li>A genuine build mandate inside an established AI Core team, not a proof-of-concept that never ships.</li><li>Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>Competitive salary, strong benefits, and clear scope to grow into staff and principal-level influence.</li><li>The backing of C-Serv throughout: a delivery partner that runs a real quality filter and looks after its people, end to end.</li></ul> 
Benefits<ul><li> 
Fully remote working anywhere in the UK, built around delivery rather than presence.</li><li>A clear path to grow into staff and principal-level technical influence.</li><li>Full support from C-Serv across the hiring process and beyond, with full-cycle accountability.</li><li>A values-led, woman-owned delivery partner built on empathy, integrity, collaboration, and growth.</li></ul></div>

AI/ML Engineer

Explore 62+ Intelligence engineer in Manchester this July. Find roles across top companies and apply now to boost your career.

62 intelligence engineer jobs In Manchester

Artificial Intelligence Engineer

Artificial Intelligence Engineer

AI Engineer

eDV Infrastructure Engineer | Linux | Kubernetes | Terraform | AWS/Azure

Lead Ai Engineer (AI/ML/R&D)

AI Engineers

AI/ML Engineer