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C-Serv

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

AI/ML Engineer

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

<div>We&rsquo;re seeking a future team member for the role of Java Full Stack Engineer with AI-driven development exposure to join our Conventional Trust Platform team. This role is located in Manchester .
In this role, you&rsquo;ll make an impact in the following ways:
<ul><li><div>Define and execute the enterprise Java full stack technology strategy, aligned with business transformation goals.
</div></li><li><div>Champion AI driven development practices (e.g., AI-assisted coding, automated testing, remediation, and code quality).
</div></li><li><div>Drive modernization initiatives including cloud migration, microservices, event-driven architectures, and API-led platforms.
</div></li><li><div>Establish best practices for secure, scalable, and resilient application design.
</div></li><li><div>Oversee end-to-end delivery of complex platforms across backend (Java) and frontend technologies.
</div></li><li><div>Ensure high-quality engineering outcomes using CI/CD, automation, and DevSecOps practices.
</div></li><li><div>Lead large-scale programs focused on velocity, reliability, and cost efficiency.
</div></li><li><div>Drive backlog prioritization, technical debt reduction, and vulnerability remediation 
</div></li></ul><div></div>To be successful in this role, we&rsquo;re seeking the following:
<ul><li><div>Senior full stack engineer with Bachelor's degree in computer science or a related discipline, or equivalent work experience required; advanced degree preferred
</div></li><li><div>Strong hands-on experience with Python, ML frameworks, and LLM/GenAI tooling.
</div></li><li><div>Strong hands-on experience with AI Development tools like Claude CLI, Windsurf
</div></li><li><div>Solid understanding of the ML lifecycle; exposure to model risk or governance is a plus.
</div></li><li><div>Strong Java development skills, including experience with multi-threaded and mission critical applications
</div></li><li><div>Strong Exposure and knowledge of front end technologies such as React and Angular
</div></li><li><div>Ability to solve ambiguous problems with scalable, innovative solutions.
</div></li><li><div>Clear communicator who can influence cross-functional partners.
</div></li><li><div>Excellent collaboration and communication skills, able to engage effectively with engineers, architects, and executives.</div></li></ul></div>

Specialist, Full-Stack Engineer

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)

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>

Jacobs

<div>
 At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
 
 
 Your impact
 
 
 This is a great time to join our Data &amp; Digital team as we continue to scale our data platform and AI capabilities across critical infrastructure sectors. You&rsquo;ll be working at the forefront of modern data engineering, helping design and deliver high-impact solutions that transform how organisations operate and make decisions. It&rsquo;s an opportunity to work on complex, large-scale challenges, building production-grade data systems and AI-enabling platforms that deliver measurable outcomes across industries such as water, transport, and energy.
 
 
 With the opportunity to shape how data and AI power essential infrastructure worldwide, why wouldn&rsquo;t you want to make an impact?
 
 
 
 Day to Day
 
 
 
 <ul>
 <li>
 Design and build robust, scalable data platforms and pipelines on Azure and Databricks (batch and streaming)
 </li>
 <li>
 Develop high-quality data products using Python, SQL, Spark, and Delta Lake within modern lakehouse architectures
 </li>
 <li>
 Create AI-enabling foundations including feature stores, ML-ready datasets, and automated model-serving workflows
 </li>
 <li>
 Implement best practices in testing, observability, and monitoring (metrics, logging, lineage) to ensure platform reliability
 </li>
 <li>
 Optimise cost, performance, and scalability across large-scale data workloads
 </li>
 <li>
 Apply security-by-design principles, leveraging tools such as Unity Catalog for governance and access control
 </li>
 <li>
 Automate engineering workflows using Infrastructure-as-Code (Terraform/Bicep) and CI/CD pipelines (Azure DevOps/GitHub Actions)
 </li>
 <li>
 Collaborate with clients to translate business challenges into technical solutions, facilitating workshops and aligning stakeholders
 </li>
 <li>
 Continuously deliver value through iterative development, frequent releases, and outcome-driven delivery
 </li>
 <li>
 Evaluate and implement modern data tooling and architectural patterns to improve platform capability
 </li>
 <li>
 Contribute to reusable frameworks, templates, and scalable engineering practices
 </li>
 <li>
 Communicate trade-offs, risks, and technical decisions clearly to both technical and non-technical audiences
 
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Work on large-scale, high-impact data and AI solutions across critical infrastructure industries
 </li>
 <li>
 Build modern data platforms using cutting-edge technologies across Azure and Databricks
 </li>
 <li>
 Be part of an engineering-led culture with strong investment in platforms, tooling, and innovation
 </li>
 <li>
 Collaborate with highly skilled engineers, architects, and data professionals
 </li>
 <li>
 Gain exposure to complex, real-world data challenges at scale
 </li>
 <li>
 Develop deep expertise in cloud data engineering, AI enablement, and modern architecture patterns
 </li>
 <li>
 Shape technical solutions that directly influence business outcomes
 </li>
 <li>
 Opportunities to grow into principal engineering, architecture, or technical leadership paths
 
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 A global network of expertise and opportunity
 </li>
 <li>
 A culture founded on safety, integrity, inclusion, and belonging
 </li>
 <li>
 Flexible working arrangements that support your well-being and potential
 </li>
 <li>
 Investment in your development, including certifications, learning time, and access to mentors
 </li>
 <li>
 Opportunities to contribute to communities of practice and internal technical initiatives
 </li>
 <li>
 Exposure to diverse projects across multiple industries and regions
 </li>
 <li>
 Competitive benefits package including pension, holiday allowance, and additional perks
 
 
 
 </li>
 </ul>
 #Digital&amp;Data
 
 
 Here's what you'll need
 
 
 <ul>
 <li>
 Azure (Cloud Platform) Experience building and scaling data solutions using services like ADLS Gen2, Data Factory or Synapse, and Event Hubs, with a strong understanding of security, networking, and enterprise-grade architecture
 </li>
 <li>
 Databricks (Data Processing &amp; Analytics) Hands-on experience delivering end-to-end pipelines in Databricks, using Spark and Delta Lake, with exposure to governance through Unity Catalog and ML workflows such as MLflow
 </li>
 <li>
 Python &amp; SQL (Core Engineering Skills) Strong capability in Python (PySpark) and SQL to develop, optimise, and maintain scalable, high-performing data pipelines and transformations
 </li>
 <li>
 Modern Data Architecture (Lakehouse) Experience designing and working within lakehouse environments, applying data modelling approaches to create flexible, reusable, and high-performance data layers
 </li>
 <li>
 CI/CD &amp; DevOps Practices Familiarity with Git, automated deployment pipelines using Azure DevOps or GitHub Actions, and Infrastructure-as-Code tools such as Terraform or Bicep to enable reliable, production-ready delivery
 </li>
 <li>
 Data Quality, Observability &amp; Governance Experience implementing testing, monitoring, logging, and governance practices to ensure data is accurate, secure, and trusted across platforms
 </li>
 <li>
 AI &amp; Machine Learning Enablement Exposure to supporting AI and machine learning use cases, including preparing feature datasets, enabling experimentation, and contributing to model deployment and lifecycle management
 
 
 
 </li>
 </ul>
 Joining Jacobs not only connects you locally but globally. Our values stand on a foundation of safety, integrity, inclusion and belonging. We put people at the heart of our business, and we truly believe that by supporting one another through our culture of caring, we all succeed. We value positive mental health and a sense of belonging for all employees.
 
 
 With safety and flexibility always top of mind, we&rsquo;ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You&rsquo;ll uncover flexible working arrangements, benefits, and opportunities, from well-being benefits to our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you&rsquo;ll discover how you can cultivate, nurture, and achieve your goals &ndash; all at a single global company. Find out more about life at Jacobs.
 
 
 We aim to embed inclusion and belonging in everything we do. We know that if we are inclusive, we&rsquo;re more connected and creative. We accept people for who they are, and we champion the richness of different perspectives, lived experiences and backgrounds in the workplace, as a source of learning and innovation. We are committed to building vibrant communities within Jacobs, including through our Jacobs Employee Networks, Communities of Practice and our Find Your Community initiatives, allowing every employee to find connection, purpose, and belonging. Find out more about our Jacobs Employee Networks here.
 
 
 Jacobs partners with VERCIDA to help us attract and retain talent from a wide range of backgrounds. For greater online accessibility please visit https//www.vercida.com/uk/employers/jacobs to view and access our roles.
 
 
 As a disability confident employer, we will interview disabled candidates who best meet the criteria. We welcome applications from candidates who are seeking flexible working and from those who may not meet all the listed requirements for a role.
 
 
 We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.
 
 
 Your application experience is important to us, and we&rsquo;re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.
 
 
</div>

Data Engineer

Explore 45+ Ai ml engineer in Manchester this July. Find roles across top companies and apply now to boost your career.

45 ai ml engineer jobs In Manchester

AI/ML Engineer

Artificial Intelligence Engineer

Specialist, Full-Stack Engineer

Machine Learning Engineer

Principal Data Scientist and Machine Learning Researcher (eDV)

Artificial Intelligence Engineer

Data Engineer