artificial intelligence engineer Jobs in Manchester

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lead engineer - full stack

lead software engineer Jobs in Manchester

lead software engineer

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lead technical architect

ai engineers

Deloitte

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


AI Engineers

Bally's Interactive

<div>
 <strong>
  Who We Are
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  Well, what about the team?
  <br/>
  <br/>
 </strong>
 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.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 <strong>
  So, what will you be doing?
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  And what will you need?
  <br/>
  <br/>
 </strong>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Behaviours
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This Is What You'll Get
  <br/>
  <br/>
 </strong>
 Different benefits packages are tailored to fit each location, but here&rsquo;s a taste of what may be on offer:
 <br/>
 <br/>
 <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
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  DNA / Values
  <br/>
  <br/>
 </strong>
 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!
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 Equal Opportunities
 <br/>
 <br/>
 At Bally&rsquo;s Interactive, we are committed to promoting equal opportunities in employment and working conditions.
 <br/>
 <br/>
 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.
 <br/>
 <br/>
 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)

<div><p><b>Lead Ai Engineer</b></p>
<p><b>
Location : </b>Hybrid working 3 days a week in the <b>Manchester Office</b></p>
<p><b>
Who we are</b></p>
<p>
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.</p>
<p>
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.</p><br>
<p></p>
<p><b>
Well, what about the team?</b></p>
<p>
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.</p>
<p>
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.</p>
<p>
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.</p><br>
<p></p>
<p><b>
So, what will you be doing?</b></p>
<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><br>
<p></p>
<p><b>
And what will you need?</b></p>
<p><b>
Experience:</b></p>
<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><br>
<p></p>
<p><b>
Skills &amp; Behaviours:</b></p>
<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><br>
<p></p>
<p><b>
This is what you'll get:</b></p>
<p>
(different benefits packages are tailored to fit each location, but here&rsquo;s a taste of what may be on offer)</p>
<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><br>
<p></p>
<p><b>
DNA / Values</b></p>
<p>
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!</p>
<p>
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.</p><br>
<p></p>
<p><b>
Equal Opportunities</b></p>
<p>
At Bally&rsquo;s Interactive, we are committed to promoting equal opportunities in employment and working conditions.</p>
<p>
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.</p>
<p>
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.</p></div>

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

<div><div><p><b>About THG</b></p>
<p>
We are THG, a global ecommerce group on a mission to be the global online leader in beauty and sports nutrition.</p>
<p>
Our portfolio of leading retailers and brands such as LOOKFANTASTIC, Myprotein, ESPA, Perricone MD, and Cult Beauty form our two core businesses: THG Beauty and THG Nutrition.</p>
<p>
From Manchester to New York, we're powered by a team of over 2500 people who work together, lead by example, and think BIG.</p>
<p>
With us, you'll go further, faster. What are you waiting for?</p></div><p><b>
Location: Icon 1, WA15 0AF</b></p>
<p><b>
About Central Functions</b></p>
<p>
Central Functions is formed of the teams and people that serve the entire business. These people are integral to the smooth running of the business; ensuring everyone is paid on time, that materials are sourced and arrive promptly, that we meet our legal obligations and that our health, safety, and security is safeguarded.</p>
<p><b>
Why be the Data Engineering Lead at THG?</b></p>
<p>
THG is building the data engineering capability that will underpin everything from daily trading analytics to AI-driven personalisation. As Engineering Lead, you will own the technical vision and delivery for how THG structures, stores and distributes its data across three core domains: Customer, Commercial and Operations.</p>
<p>
This is a hands-on technical leadership role. You will be managing and mentoring a team of six engineers (three Senior, three mid-level, each domain-aligned), but you are also expected to be technically deep &mdash; setting architecture standards, making key design decisions, and being the person the team turns to when problems are hard.</p>
<p>
Your primary mission is to move THG from a fragmented, siloed data landscape towards consistent, joined-up domain datasets that can be trusted and used at scale. We have customer data in multiple places, commercial data that isn't consistently structured, and operational data that isn't easy to consume. You will build the engineering foundation that changes that &mdash; working to a shared architecture that ensures Customer, Commercial and Operations datasets have consistent standards, shared attributes where appropriate, and can ultimately be joined into a single, reliable view of the business.</p>
<p>
You will work closely with Ingenuity, our technology partner, who manage the foundational platform and first-layer pipelines. Your job is to take what Ingenuity provides and shape it into the structured, high-quality domain datasets that analytics and data science teams can confidently build on. You will also be a key partner to the Data Governance Lead, implementing the standards they define within your engineering practice.</p>
<p><b>
What you'll do:</b></p>
<p><b>
Technical Leadership &amp; Architecture</b></p>
<ul>
<li>Own the data engineering architecture for THG &mdash; defining how data is ingested, transformed, stored and made available across Customer, Commercial and Operations domains</li>
<li>Design consistent standards and patterns across all three domains &mdash; ensuring shared attributes are handled uniformly and that data can be reliably joined across domains</li>
<li>Lead the evolution of our BigQuery/GCP platform &mdash; driving migrations, modernising legacy pipelines, and building for scalability</li>
<li>Make key architectural decisions and be accountable for the technical quality of everything the engineering team produces</li>
<li>Develop and enforce engineering standards across the team &mdash; version control, testing frameworks, error handling, documentation and code review practices</li>
</ul>
<p><b>Domain Dataset Development</b></p>
<ul>
<li>Lead the build-out of structured, reliable domain datasets &mdash; moving from disparate, siloed data sources towards consolidated Customer, Commercial and Operations data platforms</li>
<li>Work towards the foundations of a single source of truth &mdash; defining how data from different source systems is reconciled, deduplicated and mastered within each domain</li>
<li>Ensure domain datasets are structured for downstream consumption &mdash; analytics teams, data science models, BI tooling and AI/agent use cases should all be able to reliably consume what engineering produces</li>
</ul>
<p><b>AI-Enabled Engineering</b></p>
<ul>
<li>Champion the use of AI in data engineering &mdash; this is a small team with a large remit, and we expect AI-assisted development to be embedded in how we work</li>
<li>Apply AI tools to accelerate pipeline development, automated testing, anomaly detection and data quality monitoring</li>
<li>Stay current with AI developments in the data engineering space and bring new approaches into the team's practice</li>
</ul>
<p><b>Ingenuity Relationship</b></p>
<ul>
<li>Work closely with the Ingenuity engineering team &mdash; understanding what they provide at the platform layer and building effectively on top of it</li>
<li>Define clear requirements and interface standards for how Ingenuity data feeds into PLC domain datasets</li>
<li>Identify and escalate where Ingen platform behaviour affects data quality or availability within PLC domains</li>
</ul>
<p><b>People &amp; Team</b></p>
<ul>
<li>Manage, coach and develop a team of six domain-aligned engineers &mdash; three Senior Data Engineers and three Data Engineers</li>
<li>Run a structured review and development process for each engineer, building their technical capability and career progression</li>
<li>Foster a culture of engineering excellence, collaboration and continuous improvement</li>
</ul>
<p><b>What skills and experience do I need for this role?</b></p>
<p><b>
Essential</b></p>
<ul>
<li>Hands-on, expert-level experience with BigQuery and GCP &mdash; this is non-negotiable; you must have built and operated production data pipelines on this stack</li>
<li>Strong Python skills &mdash; used daily for pipeline development, data transformation and automation</li>
<li>Experience across at least two of the three core data domains: Customer, Commercial and Operations</li>
<li>A track record of evolving data architecture &mdash; you can demonstrate concrete examples of how you changed the way a business structures, stores or consumes its data</li>
<li>Deep understanding of data modelling, pipeline design and distributed data architecture</li>
<li>Experience with Dataform or dbt for data transformation</li>
<li>Demonstrated use of AI in data engineering &mdash; AI-assisted pipeline development, automated quality checks, or similar practical applications</li>
<li>Experience mentoring and developing engineers</li>
</ul>
<p><b>Desirable</b></p>
<ul>
<li>Experience building towards a Customer Data Platform (CDP) or equivalent customer data consolidation project</li>
<li>Familiarity with data governance principles and working alongside a governance function</li>
<li>E-commerce or retail background</li>
<li>Experience with streaming or real-time data pipelines</li>
</ul>
<p><b>What's in it for me?</b></p>
<p><b>
Career Development</b></p>
<ul>
<li>Access bespoke development programmes that have been designed and developed by our in-house L&amp;D team.</li>
<li>Continued development through our upskilling programme that is delivered in partnership with an industry-leading training provider.</li>
</ul>
<p><b>Enhanced Leave</b></p>
<ul>
<li>25 days annual leave plus bank holidays.</li>
<li>Don't want to work on your birthday? We don't either! Enjoy your day off on us!</li>
<li>Enhanced maternity and paternity pay, depending on length of service.</li>
<li>Up to 10 days compassionate leave.</li>
<li>Buy back up to 3 days each year.</li>
<li>Unlock 2 days volunteer leave after 12-months.</li>
</ul>
<p><b>Wellbeing Support</b></p>
<ul>
<li>Access face-to-face and virtual appointments with our in-house GP.</li>
<li>Access our 247 Employee Assistance Programme (EAP) which is provided by Bupa.</li>
<li>State-of-the-art on-site gym.</li>
<li>Access to our on-site physio.</li>
</ul>
<p><b>Other Perks</b></p>
<ul>
<li>Save up to 12% on the cost of personal tech through our salary sacrifice scheme.</li>
<li>Subsidised bus pass from Manchester City Centre to our ICON office.</li>
<li>Up to 50% staff discount on THG brands.</li>
<li>On-site staff shop.</li>
<li>Know someone who would be perfect for THG? Refer them and get up to &pound;1000 when they pass their probation.</li>
<li>Anniversary gifts when you hit 5 and 10 years of service.</li>
</ul><div><p><b>
THG is proud to be a Disability Confident Committed employer. If you are invited to interview, please let us know if there are any reasonable adjustments we can make to the recruitment process that will enable you to perform to the best of your ability.</b></p>
<p><b>
THG is committed to creating a diverse &amp; inclusive environment and hence welcomes applications from all sections of the community.</b></p>
<p><b>
Because of the high volumes of applications our opportunities attract, it sometimes takes us time to review and consider them all. We endeavour to respond to every application we receive within 14 days. If you haven't heard from us within that time frame or should you have any specific questions about this or other applications for positions at THG please contact one of our </b><b>Talent</b><b> team to discuss further.</b></p></div></div>

Data Engineering Lead

Frontier Resourcing

<div><div><b>Principal Data Scientist &amp; Machine Learning Researcher
</b></div><div><p>Gloucester | London | Manchester
</p>
<p></p><p>Working with a leading National Security and Cyber organisation, you will help develop advanced AI and machine learning solutions that support critical national security missions.
</p>
<p>Operating within a mature Agile environment, you'll collaborate closely with customers, engineers, researchers and data scientists to solve complex real-world challenges using cutting-edge AI, machine learning and data science techniques.
</p>
<p>We have opportunities at all levels from Associate, Senior and Principal levels. Roles can be based in Gloucester, Manchester or London, with hybrid working available (typically 3 days per week on-site).
</p>
<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
<p></p><p><b>The Opportunity
</b></p><p>As a Senior Data Scientist &amp; Machine Learning Researcher, you will play a key role in the technical leadership, design and delivery of AI and machine learning projects from concept through to deployment.
</p>
<p>You'll work within a specialist team of Data Science, AI and Machine Learning experts, driving innovative research, developing advanced solutions and mentoring colleagues across a range of customer and internal R&amp;D programmes.
</p>
<p>This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.
</p>
<p></p><p><b>Key Responsibilities
</b></p><ul><li>Design, develop and deliver complex machine learning and data science solutions with a high degree of autonomy.
</li><li>Lead technical investigations, research activities and AI/ML development across customer and internal projects.
</li><li>Identify innovative approaches to solving complex technical challenges and contribute to future research directions.
</li><li>Provide technical leadership within project teams and support successful project delivery.
</li><li>Collaborate with multidisciplinary teams, stakeholders and customers to define requirements and develop effective technical solutions.
</li><li>Mentor and support junior team members, helping to develop technical capability across the wider team.
</li><li>Communicate complex technical concepts clearly to both technical and non-technical audiences.
</li>
</ul><p></p><p><b>Essential Skills &amp; Experience
</b></p><ul><li>Degree (BSc or above) in Data Science, Machine Learning, Computer Science, Mathematics or a related discipline.
</li><li>Strong Python development experience, including machine learning frameworks such as Hugging Face, TensorFlow and PyTorch.
</li><li>Proven experience delivering machine learning solutions within commercial, research or government environments.
</li><li>Strong understanding of modern AI/ML techniques across areas such as Generative AI, Large Language Models (LLMs), Natural Language Processing (NLP) and Computer Vision.
</li><li>Experience training, fine-tuning and evaluating machine learning and AI models.
</li><li>Ability to undertake technical research and apply findings to real-world challenges.
</li><li>Experience producing high-quality technical documentation, reports or research publications.
</li><li>Previous experience mentoring team members and providing technical leadership.
</li>
</ul><p></p><p><b>Desirable Skills &amp; Experience
</b></p><ul><li>MSc or PhD with a strong research background.
</li><li>Experience developing and maintaining robust ML pipelines and MLOps practices.
</li><li>Familiarity with version control, containerisation and environment management tools, including Git and Docker.
</li><li>Experience working within Linux environments and using command-line tooling.
</li><li>Experience deploying and scaling AI/ML solutions into production environments.
</li><li>Cloud platform experience, ideally AWS, although Azure or GCP experience is also valuable.
</li><li>Published research in peer-reviewed journals or conferences.
</li><li>Experience writing technical proposals, bids or research funding submissions.
</li>
</ul><p></p><p><b>What's on Offer
</b></p><ul><li>Opportunity to work on highly complex and meaningful national security challenges.
</li><li>Exposure to cutting-edge AI, Machine Learning and Data Science projects.
</li><li>Collaborative environment with experienced researchers, engineers and technical specialists.
</li><li>Clear opportunities for technical development, leadership and career progression.
</li><li>Hybrid working with locations in Gloucester, Manchester or London.
</li>
</ul><p></p><p><b>Benefits:
</b></p><ul><li>Competitive salary and excellent benefits
</li><li>eDV bonus on to 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>

Principal Data Scientist and Machine Learning Researcher (eDV)

ConnexAI

<div>
 <p>
  <strong>
   Build Low Latency Conversational AI Systems
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  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.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll do
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we&rsquo;re looking for
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why this role?
  </strong>
 </p>
 <p>
  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.
 </p>
 <p>
 </p>
</div>


Machine Learning Engineer

BT Group

<div><div><div><div><div>Req ID: 59489
</div></div></div></div><div><div><div><div>Job Function: Software Engineering
</div></div></div></div><div><div><div><div>Posting Start Date: 02/07/2026
</div></div></div></div><div><div><div><div>Posting End Date: 05/07/2026
</div></div></div></div><div><div><div><div>Division: Networks
</div></div></div></div><div><div><div><div>Job Location: GBR-Manchester-New Bailey
</div></div></div></div><div><div><div><div>Advertised Salary: Competitive + Benefits
</div></div></div></div><div></div><div><div><div><div><div><div><div><h2 class="jobSectionHeader"><b>About the role
</b></h2></div><div><p>We are driving the modernisation of Core Voice Network platforms, transforming legacy telephony systems into scalable, cloud-native, microservices-based architectures while also enabling next-generation Voice AI capabilities such as intelligent call handling, automation, and conversational services.</p><br>
<p></p><p>This role sits within a Software Engineering Development team focused on designing, developing, and evolving distributed applications that underpin call services and routing across BT&rsquo;s fixed voice estate. You will play a key role in building and shaping microservice architectures, leveraging technologies such as Java, Spring Boot, Podman, and Kubernetes, and contributing to system design for high availability, scalability, and real-time processing. Working closely with cross-functional teams, you will help deliver robust, production-grade solutions, mentor engineers, and continuously improve development practices.</p><br>
<p></p><p>This role is based at New Bailey, Manchester, UK with a hybrid working model of 3 days together, 2 days wherever.</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>What you&rsquo;ll be doing
</b></h2></div><div><div><ul><li>Design, develop, and maintain scalable microservices-based applications using Java, Spring Boot, and containerisation technologies (Docker, Kubernetes)</li></ul>
<ul><li>Define and implement RESTful APIs aligned to OpenAPI (Swagger) standards to support digital and distributed systems</li></ul>
<ul><li>Lead by example through hands-on development, while reviewing code and mentoring engineers to ensure high-quality delivery</li></ul>
<ul><li>Adopt an AI-first engineering approach, leveraging AI tools and Voice AI capabilities to accelerate development, improve code quality, and enable intelligent call handling solutions</li></ul>
<ul><li>Collaborate with architects, product teams, analysts, and engineers to deliver solutions across component and end-to-end system levels</li></ul>
<ul><li>Contribute to system design and architecture, ensuring scalability, resilience, and performance for real-time, high-throughput platforms</li></ul>
<ul><li>Solve complex technical issues, performing coding, debugging, testing, and troubleshooting across the application stack</li></ul>
<ul><li>Conduct deep-dive analysis to identify bottlenecks, optimise performance, and reduce technical debt through continuous improvement</li></ul>
<ul><li>Contribute to and help shape the technical roadmap, aligning engineering deliverables with business objectives and innovation trends</li></ul>
<ul><li>Champion best practices and continuously share knowledge on emerging technologies, including AI-driven development approaches</li></ul>
<ul><li>Exposure to Core Voice platform development (e.g., OCCAS) including working with telecom protocols and tools such as SIP signalling, RTP media flows, traffic simulation (SIPP), and troubleshooting using tools like Wireshark is desirable but not mandatory</li></ul>
</div></div></div><div><div><h2 class="jobSectionHeader"><b>Essential Skills / Experience
</b></h2></div><div><ul><li>Strong experience in Java development with good working knowledge of Spring Boot, along with experience in designing and building production-ready APIs using OpenAPI (Swagger)</li>
<li>Good understanding of microservices architecture patterns, distributed system design, and experience working with relational databases (such as MYSQL/Timesten) for scalable solutions</li>
<li>Understanding of container technologies such as Docker, comfort working in Linux environments with basic Bash scripting, along with working knowledge in AI concepts and frameworks within software development</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Desirable Skills / Experience
</b></h2></div><div><ul><li>Experience using Git for version control. Awareness of continuous integration and delivery (CI/CD) practices</li>
<li>Familiarity with tools like Consul and Prometheus for service discovery and monitoring</li>
<li>Strong foundational knowledge of Container as a Service, including its key components and how it supports scalable applications</li>
<li>Experience working in Agile teams, using tools such as Jira and Scrum practices</li>
<li>Familiarity with cloud platforms (such as AWS, Azure, or OpenStack) and virtualised environments</li>
<li>Experience working with telecom or voice systems</li>
<li>Exposure to Core Voice platform development (e.g., OCCAS), including working with protocols and tools such as SIP signalling, RTP media flows, traffic simulation using SIPP, and troubleshooting with tools like Wireshark</li>
</ul></div></div><div><div><h2 class="jobSectionHeader"><b>Our Package
</b></h2></div><div><p>Tailored benefits make a real difference. That&rsquo;s why we offer a comprehensive range to support your growth, wellbeing, and everyday life.</p><br>
<p><br>
You can design the package to suit you and your lifestyle. Your core benefits include:
</p><ul><li>10% on target annual bonus
</li><li>Access to an online private GP 24/7 for you and your immediate family
</li><li>Market-leading paid carers leave with up to 2 weeks off
</li><li>Equalized maternity, paternity, and adoption leave &ndash; 18 weeks&rsquo; full pay and 8 weeks&rsquo; half pay
</li><li>Discounted EE and BT products, including mobile and broadband
</li><li>Market leading Pension scheme &ndash; 5% from you and 10% from us
</li><li>Holiday purchase scheme</li></ul><br>
<p><br>
You can select additional benefits, including healthcare, dental, gym memberships and more when you&rsquo;re ready.<br>
</p><p><br>
Ready to connect for good and help shape the future? <b>Apply now.
</b></p></div></div></div></div></div></div></div><div><div><div><div><p>BT Group is the UK&rsquo;s leading communications group and the holding company behind some of the country&rsquo;s most recognised brands &ndash; including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.</p>
<p>BT Group&rsquo;s role is about setting direction, unlocking value and creating the conditions for our brands and businesses to thrive.</p>
<p>Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next &ndash; simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably. Group teams shape strategy, policy, brand, capital allocation and transformation, helping the whole organisation perform at its best.</p>
<p>We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT Group means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country&rsquo;s most important companies.</p></div></div></div></div></div>

Software Engineering Specialist

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