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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

Frontier Resourcing

<div><div>Principal Data Scientist &amp; Machine Learning Researcher
</div><div>Gloucester | London | Manchester

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.

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.

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).

<ul><li>Due to the nature of work in National Infrastructure, candidates must hold an active eDV (enhanced DV) UK Security Clearance.
</li></ul>
The Opportunity
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.

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.

This position offers the opportunity to contribute to genuinely challenging and impactful projects while helping shape future AI capabilities within the national security domain.

Key Responsibilities
<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>Essential Skills &amp; Experience
<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>Desirable Skills &amp; Experience
<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>What's on Offer
<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>Benefits:
<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)

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)

bet365

<div>Company Description 
We&rsquo;re one of the world&rsquo;s leading online gambling companies, revolutionising the industry since 2000. Founded by Denise Coates CBE, we now employ over 10,000 people and serve over 120 million customers in 26 languages.
We empower our employees to push boundaries and explore new ideas, cultivating a culture that celebrates and rewards creativity. This offers employees a wealth of growth opportunities, giving them the opportunity to make a real impact in the world of online gambling. As a forward-thinking company, we&rsquo;re breaking new ground in software innovation too, redefining what&rsquo;s possible for our global worldwide.
Our focus on In-Play betting has solidified our market-leading position, featuring more than 1.38 million In-Play sporting events a year. With over 750 concurrent sporting fixtures at peak and more live sports streamed than anyone else in Europe (750,000), we handle over 6 million HTTP requests daily and process more than 1.5 million bets per hour at peak. 
Job Description 
As a Lead Data Scientist, you will spearhead the development of advanced probabilistic models that power real-time betting markets.
The Quantitative Analysis department harnesses data-driven insights to enhance our betting products and services. The team is responsible for designing, developing, and maintaining sophisticated mathematical models to provide accurate pricing across our sports betting products.
In this role, you will work with extensive datasets develop models that determine odds and power in-play betting decisions while leveraging state-of-the-art machine learning techniques to analyse and interpret complex sports data. Our fast-paced, delivery-focused environment offers significant opportunities for technical growth and innovation.
This role is eligible for inclusion in the Company's hybrid working policy. 
Qualifications 
<ul><li>
Ability to leverage in-depth knowledge of sports and online gambling to develop relevant, impactful models aligned with business objectives.</li><li>
Master&rsquo;s degree or PhD in Mathematics, Data Science, Computer Science, or a related quantitative field.</li><li>
Proven success in leading the design, development, and deployment of sophisticated predictive models.</li><li>
Expertise in Python/R and ML frameworks, such as scikit-learn, TensorFlow, or PyTorch,</li><li>
Proven ability to design and implement complex machine learning solutions and guiding best practice.</li><li>
Deep understanding of statistical analysis and probability theory.</li><li>
Demonstrable experience overseeing the implementation of highly accurate, computationally efficient, and scalable models for large-scale production environments.</li><li>
Track record of mentoring junior colleagues and successfully leading technical projects.</li><li>
Experience with cloud computing environments for scalable solutions.</li></ul> 

Additional Information 
<ul><li>
Leading the development and implementation of innovative data solutions for complex challenges, solving problems without prescriptive approaches.</li><li>
Overseeing advanced analysis of large datasets to derive actionable insights aligned with business objectives.</li><li>
Developing predictive models and algorithms using statistical techniques and machine learning.</li><li>
Conducting and supervising rigorous statistical validation of models against historical and live data.</li><li>
Collaborating with trading teams to incorporate domain expertise into mathematical models.</li><li>
Partnering with software architects and developers to ensure alignment with technical solutions.</li><li>
Optimising model performance for both accuracy and computational efficiency.</li><li>
Researching and implementing novel approaches from academic literature and industry advancements.</li><li>
Mentoring less experienced team members, providing guidance, and conducting quality assurance to enhance overall team performance and capabilities.</li><li>
Identifying and defining new opportunities for data-driven insights.</li></ul><div></div>
By applying to us you are agreeing to share your Personal Data in accordance with our Recruitment Privacy Notice - https://www.bet365careers.com/privacy-policy

At bet365, we're committed to creating an environment where everyone feels welcome, respected and valued. Where all individuals can grow and develop, regardless of their background. We're Never Ordinary, and we're always striving to be better. If you need any adjustments or accommodations to the recruitment process, at either application or interview, please don&rsquo;t hesitate to reach out.</div>

Lead Data Scientist, Sports

<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)

TRADER Corporation

<div><div><h3 class="jobSectionHeader">About us</h3>

You've probably heard of Autotrader, but do you know what we're all about?

We're the most trusted, most visited automotive marketplace in the UK. A heritage brand and a tech innovator. We bring together vehicle buyers and sellers to give them real choices. Cars may be what we're best known for but we&rsquo;re also the place for pretty much everything else on wheels, from e-bikes to caravans.

In the automotive world, change is a constant, that&rsquo;s why we take our job of untangling the complex car-buying journey very seriously. 
 
At our core, we&rsquo;re all about people. We go our own way while embracing diversity and celebrating our differences. We dedicate ourselves to the idea that we work better together.

Autotrader is a beautiful, surprising and vibrant place to work. We might not be for everyone, but we could be perfect for you.
<h3 class="jobSectionHeader">
About the job</h3>

We are seeking a Senior Data Scientist who will play a crucial role in driving Autotrader's transformation into a data science-driven organisation.

As a Senior Data Scientist you will be responsible for the direction of Data Science at Autotrader. You will join a cross-functional collaborative squad focussed around a set of products or a services. With your experience and research skills you will spot the opportunities for Data Science and work with the leadership in your squad to prioritise, resource and shape subsequent projects. Your role will require you to orchestrate these projects, including supporting other Data Analysts and Scientists and collaborating with software engineers towards the best solution. You will have a focus on developing ML-centric data products and solutions, in which your expertise with ML frameworks and workflows will be key.

Right now, our Data Scientists are working on several exciting projects. For instance, they're creating personalised suggestions to get buyers more involved, improving our search system to make buying better for customers while also helping sellers stand out, building AI tools to aid customers in tasks like making listings and describing ads, studying how competition affects seller performance on our site, and upgrading our customer data platform for better targeted marketing beyond our site.

As part of our broader analytical community, Data Scientists collaborate closely with Data Analysts. Together, they foster a culture of shared insights, continuous learning, and mutual support through regular showcases, feedback sessions, mentorship programs and skill-based workshops. As a Senior member of the community, you will play a key role in establishing our analytical standards and tools.

We have invested heavily in a Data Platform that supports industry-leading Data Science. These are some technologies that our Data Scientists use (we don't expect applicants to have experience with all of these): 
 
Python and Databricks for Data Science, Spark, MLFlow and Airflow for ML Workflows, Google Cloud Platform for our analytics infrastructure, dbt and BigQuery for data modelling and warehousing. 
<h3 class="jobSectionHeader">
What we're looking for</h3>

We are looking to grow our diverse team of curious data scientists. In your application, you should demonstrate:
<ul>
<li>A track record of delivering data science solutions in a commercial business</li>
<li>Experience productionising machine learning workflows. Knowledge of deployment and monitoring strategies.</li>
<li>A deep understanding of ML frameworks, algorithms and statistical methods</li>
<li>Expertise with Python and SQL</li>
<li>Experience orchestrating data science projects in cross-functional teams and confidence leading other data scientists</li>
<li>Enthusiasm for engaging with stakeholders both technical and non-technical to identify opportunities for Data Science and influence squad roadmaps</li>
<li>A passion for coaching Data Analysts and Data Scientists</li>
</ul>
During our application process, you will be asked two questions to help us learn more about you and how you align with our values. These will be used as part of our selection criteria, to determine if we progress your application further.
<h3 class="jobSectionHeader">
Benefits</h3>

We&rsquo;re offering a salary of &pound;50,000&ndash; &pound;70,000, plus an additional 10% of your salary awarded to you in shares each year. These awarded shares will become yours in yearly instalments over the next three years, and you can choose to either sell them or keep them as shares.

You'll have 28 days holiday per year, and that's in addition to bank holidays and half day closures on Christmas and New Year's Eve.

That&rsquo;s not all. You'll be enrolled in our pension scheme, where our standard contributions are 7% and employee contributions are 5%. We also have comprehensive private medical cover, enhanced family leave provisions, a car salary sacrifice scheme, share-save options, and much more.

We always want to give you the support you need and help prioritise your wellbeing, that&rsquo;s why we provide access to 24/7 online GP and dentist, as well as specialist support for assisted fertility, gender dysphoria, menopause, period care plans and lots more.

On top of all that, our hybrid model, Connected Working, combines the best of both worlds &ndash; office and home working. You'll spend a minimum of 3 days a week in the office with your team, focused on collaboration and connection.

Additionally, we have our remote-first periods at set times during summer and winter. During these periods, you can work remotely anywhere in the UK and from certain locations abroad.</div></div>

Senior Data Scientist

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

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