artificial intelligence engineer Jobs in Manchester

artificial intelligence engineer

ai engineers

commercial operations engineer Jobs in Manchester

commercial operations engineer

debugger software engineer Jobs in Manchester

debugger software engineer

lead engineer - full stack Jobs in Manchester

lead engineer - full stack

ai engineer

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)

<div>
 
 Who We Are
 
 
 
 Bally&rsquo;s Intralot is a newly formed company established through the combination of INTRALOT and Bally&rsquo;s International Interactive, positioning the group as a top iGaming operator and a leading global provider of lottery solutions.
 
 
 Bally&rsquo;s Intralot is uniquely positioned across digital online gaming markets, lottery, iLottery, and sports betting. Operating at the intersection of technology, regulation, and entertainment. We are optimally positioned to capitalize on strong global growth trends driven by digital adoption and regulatory expansion across lottery and iGaming markets.
 
 
 
 Well, what about the team?
 
 
 
 You'll be part of the team responsible for bringing AI innovation into the hands of millions of players. Working alongside AI researchers and experienced engineers, you'll transform proven concepts into high-quality, production-ready features that power personalised player experiences.
 
 
 From recommendation systems and intelligent search to AI agents and dynamic content discovery, you'll build and scale the technology that sits behind our products. This is a senior, hands on role with genuine ownership you'll influence how solutions are designed, built and delivered while working in a collaborative team that's passionate about solving complex engineering challenges with AI.
 
 
 
 So, what will you be doing?
 
 
 
 <ul>
 <li>
 Take prototypes and validated concepts from R&amp;D and turn them into production
 </li>
 <li>
 systems: hardened, tested, observable, and maintainable.
 </li>
 <li>
 Build and operate real-time personalisation, recommendation, search and ranking
 </li>
 <li>
 systems against live traffic and within real latency budgets.
 </li>
 <li>
 Hold a high engineering bar on AWS and TypeScript: clean CI/CD, infrastructure as
 </li>
 <li>
 code, observability, and testing.
 </li>
 <li>
 Work closely with R&amp;D engineers, product managers, data analysts and Staff
 </li>
 <li>
 Engineers, bridging fast experimental work and production discipline.
 
 
 </li>
 </ul>
 
 And what will you need?
 
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Significant commercial software engineering experience (typically 5+ years) with strong expertise in TypeScript and working knowledge of Python.
 </li>
 <li>
 Proven experience delivering AI, machine learning or data-driven features into production, such as recommendation engines, search, ranking systems or LLM-powered applications.
 </li>
 <li>
 Hands-on experience building and operating cloud-native applications on AWS, with a solid understanding of CI/CD, infrastructure as code and production monitoring.
 </li>
 <li>
 Experience developing and supporting high-performance, real-time systems with a focus on scalability, reliability and low latency.
 </li>
 <li>
 Experience measuring and evaluating AI model performance, using data and experimentation to drive continuous improvement.
 
 
 </li>
 </ul>
 
 Skills &amp; Behaviours
 
 
 
 <ul>
 <li>
 A hands-on engineer who enjoys solving complex technical challenges and delivering high-quality, production-ready solutions.
 </li>
 <li>
 Strong understanding of modern software engineering best practices, with a focus on clean, maintainable and well-tested code.
 </li>
 <li>
 Comfortable working in a collaborative, cross-functional environment alongside engineers, product teams and AI researchers.
 </li>
 <li>
 Excellent communication skills, able to explain technical concepts clearly to both technical and non-technical stakeholders.
 </li>
 <li>
 Proactive, curious and continuously looking for opportunities to improve products, processes and the way AI solutions are delivered.
 
 
 </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>

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

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>

ConnexAI

<div>
 
 
 Build Low Latency Conversational AI Systems
 
 
 
 We are building real-time conversational AI systems built on top of large language models, speech AI, and agentic workflows. Our platform combines ASR, LLMs, and TTS into production-grade AI systems used globally across enterprise environments where latency, reliability, and scalability matter.
 
 
 
 
 
 We are hiring a Machine Learning Engineer to build low-latency production systems for our LLM team. This role is centred around writing scalable code that enables real-time conversational AI to perform reliably under heavy production workloads.
 
 
 
 
 
 You&rsquo;ll work closely with our LLM and speech teams to solve challenges around inference speed, concurrency, request handling, GPU performance, distributed systems, and real-time response streaming.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 <ul>
 <li>
 Build and optimise low-latency LLM systems for real-time conversational AI
 </li>
 <li>
 Write production-grade Python code focused on performance, scalability, and reliability
 </li>
 <li>
 Design systems capable of handling large volumes of concurrent real-time requests
 </li>
 <li>
 Solve engineering challenges around batching, request scheduling, queue management, streaming responses, and distributed workloads
 </li>
 <li>
 Improve inference speed, GPU memory usage, and overall system responsiveness
 </li>
 <li>
 Deploy and optimise open-source LLMs using tooling such as vLLM, TensorRT-LLM, Triton, SGLang, CUDA, or similar technologies
 </li>
 <li>
 Build scalable orchestration layers and ML pipelines around LLM systems, including RAG and agentic workflows
 </li>
 <li>
 Develop backend inference services and APIs for production AI systems
 </li>
 <li>
 Productionise new model capabilities and features for real-world customer use cases
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 Strong experience writing production-grade software for machine learning systems
 </li>
 <li>
 Strong Python engineering skills
 </li>
 <li>
 Experience building low-latency or highly concurrent systems
 </li>
 <li>
 Strong problem-solving ability and enjoyment of building systems from the ground up
 </li>
 <li>
 Experience with distributed systems, parallel workloads, and performance optimisation
 </li>
 <li>
 Experience working with inference tooling such as vLLM, TensorRT, Triton, CUDA, ONNX, or similar technologies
 </li>
 <li>
 Experience building scalable backend services or ML systems used in production
 </li>
 <li>
 Understanding of real-time systems and performance-focused engineering
 </li>
 <li>
 Strong communication skills and ability to work closely with engineers and researchers
 </li>
 </ul>
 
 
 
 
 
 Why this role?
 
 
 
 You&rsquo;ll work on designing and building low-latency conversational AI systems capable of serving large volumes of concurrent real-time requests. The role focuses on solving difficult engineering challenges around inference speed, reliability, concurrency, GPU performance, and scalable production AI systems.
 
 
 
</div>

Machine Learning Engineer

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

Gambling.com Group

<div>Gambling.com Group (Nasdaq: GAMB) is a multi-award winning provider of marketing and sports data services looking for exceptional talent interested in the fast-paced, high-growth online gambling industry. The company operates a portfolio of renowned websites and brands &ndash; including flagship site Gambling.com and sports betting site Bookies.com as well as iGaming-focused sites Casinos.com, BonusFinder.com and Freebets.com.

In addition to its marketing operations, Gambling.com Group provides sports data services through consumer subscription platforms like OddsJam and RotoWire, along with B2B services through OpticOdds. These offerings deliver real-time data, actionable insights, and technology driven tools to both consumers and enterprise partners.

As the first and only online gambling affiliate publicly traded in the U.S., Gambling.com Group has earned recognition as a leader in its field &ndash; most recently winning Affiliate of the Year at the 2025 EGR Operator Awards.

Are you ready to take the next step in your career?

Functions and Scope

This is an AI engineering role embedded in a commercial function. The primary output of this role is agents and automated workflows &mdash; built, owned, and iterated on by you. Commercial knowledge informs what gets built. The building is the job.

Commercial Operations &amp; Optimisation
<ul>
<li>Support the commercial function in commercially optimising vertical site performance to drive revenue across all channels &mdash; doing so primarily by identifying where AI agents and automated workflows can replace or accelerate manual commercial processes, and then building them.</li>
<li>Act as the primary operational owner of commercial operational processes across all verticals,which in practice means owning the AI and automation layer that powers those processes, not just the processes themselves.</li>
<li>Conduct ongoing competitor analysis, develop new commercial process and agentic workflow ideas, and collaborate with product and marketing teams to drive operational improvements,using AI tooling to run analysis at scale, generate workflow concepts, and prototype solutions faster than traditional approaches allow.</li>
<li>Collaborate with commercial leadership to set, manage, and monitor BAU processes, KPIs, and OKRs across the commercial operations function,building AI-assisted reporting and monitoring infrastructure so that performance visibility is automated, not manual.</li>
<li>Leverage AI to enhance internal software and tooling to build effective, transparent internal processes across commercial operations,this is not a peripheral responsibility, it is the core mechanism through which this role delivers value. You are expected to be actively building, not just recommending.</li>
</ul>
Workflow Architecture &amp; Process Design
<ul>
<li>Identify inefficiencies and bottlenecks across commercial operations and design structured solutions,your default answer to an inefficiency is an agent or an automated workflow, with manual process redesign as the fallback where automation is not yet viable.</li>
<li>Own the design and deployment of operational workflows that reduce manual effort and improve output quality and consistency across the commercial team ,from initial architecture through to live deployment, with measurable reduction in human effort as the success metric.</li>
<li>Develop and maintain playbooks and performance standards for all commercial workflows, including documentation of how each AI agent or automated workflow is expected to behave, what good output looks like, and where human review is required.</li>
<li>Coordinate with sales and commercial leadership on operational prioritisation and workflow sequencing,translating commercial priorities into a build roadmap for agents and automations, and managing that roadmap actively.</li>
</ul>
Agent &amp; Automation Development

This is the core of the role. You will be building AI agents. Not scoping them for others to build, not advising on them, not reviewing them after the fact &mdash; designing, building, deploying, and iterating on them yourself, end to end. If you have not built and shipped an AI agent in a professional context, this role is not the right fit.
<ul>
<li>Lead the identification and scoping of agentic automation opportunities across commercial operations,this means proactively finding problems worth solving with AI, not waiting to be briefed. You are expected to surface opportunities, make the case for them, and own the build.</li>
<li>Own and build the full development lifecycle for commercial agents across all commercial operations,from problem definition and workflow brief through to prompt architecture, tool integration, testing, deployment, and post-launch iteration. You are the builder, not the commissioner.</li>
<li>Ensure quality, accuracy, and commercial alignment of all automated outputs, establishing QA standards and performance benchmarks for every agent you deploy, and holding yourself accountable for what those agents produce at scale.</li>
<li>Iterate on agent performance post-deployment based on commercial data, stakeholder feedback, and operational signals,treating deployed agents as live products that require ongoing maintenance and improvement, not finished projects.</li>
</ul>
Quality Assurance &amp; Reporting
<ul>
<li>Establish and oversee QA processes across all commercial operations workflows,including designing the human review layer that sits alongside AI-driven outputs, defining what requires sign-off before going live, and building the infrastructure to enforce that consistently.</li>
<li>Generate, analyse, and present operational KPI reports to senior stakeholders,using AI-assisted tooling to automate data aggregation and surface anomalies, so that your contribution at the reporting layer is insight and recommendation, not manual data pulling.</li>
<li>Monitor workflow and agent performance, surfacing actionable recommendations to commercial leadership on a regular basis, including honest assessment of where agents are underperforming, where outputs are drifting from expected standards, and what needs to be rebuilt or retired.</li>
<li>Operate as the internal expert on AI-enabled tools including Claude, Lovable, and others,not as a power user, but as the person who understands these platforms deeply enough to build production-grade commercial workflows on top of them, apply rigorous judgement to their outputs, and teach others how to work alongside them effectively.</li>
</ul>
Key requirements

Essential experience
<ul>
<li>Experience in a commercial operations, revenue operations, or similar ops role,ideally within a digital media, affiliate, or multi-vertical online business</li>
<li>You have built AI agents and shipped them into a live production environment,this is the baseline requirement for this role, not an aspiration. If your experience is limited to using AI tools, prompting chatbots, or working within workflows someone else built, this role is likely beyond where you are right now</li>
<li>Demonstrable, end-to-end ownership of the agent development lifecycle, from identifying the commercial problem, writing the workflow brief, designing the prompt architecture, integrating tools, testing, deploying, and iterating post-launch. You were the builder, not the person who commissioned or reviewed someone else's build</li>
<li>Experience with AI platforms and tools such as Claude, Lovable, n8n, or equivalent, with specific, named examples of what you built on them, what it did, and how you measured whether it was working</li>
<li>Track record of designing and documenting operational processes, playbooks, and performance standards,including documentation of how agents are expected to behave, what good output looks like, and where human review is required</li>
<li>Experience establishing QA frameworks for AI-generated or automated outputs, setting performance benchmarks, monitoring for drift or failure, and iterating on agent behaviour based on real-world results</li>
<li>Comfortable owning and reporting on KPIs and OKRs, with experience building automated reporting infrastructure rather than pulling data manually</li>
</ul>
You must be able to demonstrate, with specific examples, that you have:
<ul>
<li>Built and deployed at least one AI agent in a professional context and can walk through exactly what it did, how you built it, where it failed, and what you did to fix it</li>
<li>Designed prompt architecture for a production workflow,not just written prompts, but structured them as part of a repeatable, scalable agent build</li>
<li>Integrated AI agents with external tools, platforms, or data sources as part of a live commercial or operational workflow</li>
<li>Identified a commercial or operational problem, translated it into an agent build brief, built the solution yourself, and measured the outcome</li>
<li>Established and enforced QA standards for automated outputs, including defining what human review is required and building the process to ensure it happens consistently</li>
<li>Iterated on a deployed agent based on performance data or stakeholder feedback, treating it as a live product, not a finished project</li>
</ul>
Candidates who cannot provide concrete, specific examples of building and shipping agents will not progress past the application stage. This is a builder role,your portfolio of what you have built is the application.

Skills &amp; capabilities
<ul>
<li>Prompt architecture and agent design,able to structure AI instructions for production-grade reliability, not just one-off outputs</li>
<li>Tool integration,comfortable connecting AI agents to external platforms, APIs, data sources, and internal tooling as part of a live workflow build</li>
<li>Commercial judgement,able to prioritise build decisions based on revenue impact and business context, identifying which automation opportunities are worth the investment</li>
<li>Process design instinct,able to map a commercial problem, identify the automation opportunity within it, and design a structured agent-based solution</li>
<li>Strong cross-functional communication,able to translate between commercial stakeholders who define the problem and technical counterparts who support the infrastructure</li>
<li>Rigorous approach to AI output review ,understanding that what an agent produces at scale is your responsibility, and building QA into every deployment accordingly</li>
</ul>
Behaviours we're looking for
<ul>
<li>You have shipped things,your instinct is to build a working version, get it into a live environment, and improve it from there rather than designing indefinitely</li>
<li>You treat deployed agents as live products,you monitor them, catch when they drift, and fix them without being asked</li>
<li>You apply structured commercial thinking to what you build,you're not building for technical elegance, you're building to remove manual effort and drive revenue outcomes</li>
<li>You are honest about the limits of what you've built,you know where your agents are reliable and where they require human oversight, and you design for that honestly</li>
<li>You communicate proactively with commercial leadership when something isn't working, an underperforming agent that goes unreported is a failure of this role, not just a technical issue</li>
</ul>
Nice to have
<ul>
<li>Experience in the affiliate, igaming, media, or performance marketing sectors</li>
<li>Familiarity with competitor analysis methodologies in a commercial context</li>
<li>Exposure to product or engineering teams in a workflow or tooling capacity</li>
<li>Experience building agents that operate across multiple tools or platforms simultaneously,multi-step, multi-tool agent architectures rather than single-task automations</li></ul> 
 
A note for applicants: If your experience with AI is limited to using consumer tools, prompting chatbots, or working within workflows someone else built, this role is likely a step beyond where you are right now. We are looking for someone who has built agents, shipped them into a live environment, watched them fail, fixed them, and made them better. That experience is the baseline, not the ceiling

Perks &amp; Benefits
<ul>
<li>Comprehensive private Healthcare Insurance</li>
<li>Flexible work environment and home office available</li>
<li>Home office allowance</li>
<li>Gym &amp; Leisure Allowance</li>
<li>All the hardware and software you need to be successful</li>
<li>Regular company events and social outings, activities, Spot Awards and a Monthly Social Club</li>
<li>Access to courses for Personal and Career Development</li>
<li>Company Paid Volunteer Day</li></ul></div>

Commercial Operations Engineer

Explore 37+ Ai engineer in Manchester this July. Find roles across top companies and apply now to boost your career.

37 ai engineer jobs In Manchester

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

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

Artificial Intelligence Engineer

Artificial Intelligence Engineer

Machine Learning Engineer

AI Engineers

Commercial Operations Engineer