197 AI Ml jobs in the United Kingdom

Improving productivity in industry through ML based software development

Established companies have legacy systems and software that require years' experience to use it well or a bookshelf of manuals to operate it. When these systems are no longer fit-for-purpose, the usual response is to hire an IT consultancy on a slightly better system, but is there another way?

This growing start-up is tackling these problems by listening and discussing these business pain-points and developing bespoke software through their automated ML based platform. With VC funds already secured, they are growing their engineering team and are looking for their next hires.

Requirements:

• Top Computer Science education – likely a first class degree from Cambridge, Oxford, Imperial or similar and possible a PhD.
li>Commercial software engineering experience using modern typed Python, Docker and PostgreSQL. Most probably also used a compiled language like Go or Rust. Additional experience with modern frontend technologies would be desirable.
• Python expertise includes understanding ecosystems and toolchains for large complex codebases.
• Your computer science background allows you to know how to experiment and apply this knowledge to commercial software products.
• Experience with AI / LLM techniques and models for professional projects or through substantial hobby projects.
• Excellent communication skills including knowledge of software architecture.

This is not your run-of-the-mill software company, and so interested candidates need to be naturally curious, engaged and fast to pick up new ideas. Previous experience working in a fast-growing software start-up would be advantageous.

On offer is an excellent remunerations package including enhanced pension, family covered private healthcare and flexible working including substantial hybrid options.

Keywords:    LLM, Modern Python, Toolchains, Automation, Software Engineering, Architecting, Start-up, London / Hybrid 

Another top job from ECM, the high-tech recruitment experts.    

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27406 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Improving productivity in industry through ML based software development

Established companies have legacy systems and software that require years' experience to use it well or a bookshelf of manuals to operate it. When these systems are no longer fit-for-purpose, the usual response is to hire an IT consultancy on a slightly better system, but is there another way?

This growing start-up is tackling these problems by listening and discussing these business pain-points and developing bespoke software through their automated ML based platform. With VC funds already secured, they are growing their engineering team and are looking for their next hires.

Requirements:

• Top Computer Science education – likely a first class degree from Cambridge, Oxford, Imperial or similar and possible a PhD.
li>Commercial software engineering experience using modern typed Python, Docker and PostgreSQL. Most probably also used a compiled language like Go or Rust. Additional experience with modern frontend technologies would be desirable.
• Python expertise includes understanding ecosystems and toolchains for large complex codebases.
• Your computer science background allows you to know how to experiment and apply this knowledge to commercial software products.
• Experience with AI / LLM techniques and models for professional projects or through substantial hobby projects.
• Excellent communication skills including knowledge of software architecture.

This is not your run-of-the-mill software company, and so interested candidates need to be naturally curious, engaged and fast to pick up new ideas. Previous experience working in a fast-growing software start-up would be advantageous.

On offer is an excellent remunerations package including enhanced pension, family covered private healthcare and flexible working including substantial hybrid options.

Keywords:    LLM, Modern Python, Toolchains, Automation, Software Engineering, Architecting, Start-up, London / Hybrid 

Another top job from ECM, the high-tech recruitment experts.    

Even if this job's not quite right, do contact us now - we may well have the ideal job for you. To discuss your requirements call (phone number removed) or email your CV. We will always ask before forwarding your CV.

Please apply (quoting ref: CV27406 ) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

**Job Description Summary**
Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business.
As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.
**Job Description**
**Roles &** **Responsibilities** **:**
**Technical** **Leadership**
Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits.
**Engineering/Technology Practices**
Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.
**Competency** **Governance**
Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.
**People Development**
Actively support Consulting Engineers with staff development & succession planning.
Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer.
Actively mentor and coach identified high potential Engineering talents within one's business lines.
**Required Qualifications/Experience:**
+ Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
+ At least 10 years of experience in an engineering capacity
**Desired Characteristics**
+ Experience with Machine Learning technologies, and software systems architecture
+ Ability to work across organizations in a matrix environment
+ Preferably having taken a Senior Engineer role
+ Strong oral and written communication skills
+ Strong interpersonal, responsive and leadership skills
+ Problem analysis and resolution skills
+ Able to pursue Engineering integrity in adverse conditions
+ Able to interface effectively with most levels of the organization
+ Lean experience preferred
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

**Job Description Summary**
Principal Engineer combine a high level of technical expertise with sound business acumen and a good understanding of engineering processes. As an AI/ML Principal Engineers, you are part of a formal career path for technical personnel wanting to continue to develop and grow your technical competencies while having increasingly more impact on the business.
As recognized experts in specialized fields, you will lead/support projects and initiatives with broad scope and high impact to the business. You will be responsible for major and complex assignments with long-term business implications. This role contributes to the overall strategy and manages complex issues within functional area of expertise.
**Job Description**
**Roles &** **Responsibilities** **:**
**Technical** **Leadership**
Support Consulting Engineers in business line technology strategy definition and Multi-Generational Product Plan (MGPP).
Chair Design reviews for individual components, sub-assemblies and key engineering deliverables at tendering and contract execution stages. Support Consulting Engineers in governance and trainings to reinforce proper execution of design review guidelines.
Identify, develop, evaluate, and introduce engineering solutions to create market winning proposals in anticipation of business product needs. Provide key technical direction to large projects during contract execution phase.
Provide technical consultation on product problems throughout the business including supplier and field support and perform technical rescues when needed.
Participate Patent Evaluation Board (PEB) to protect technology that gives the business a competitive advantage, as well as protecting the intellectual property rights of the company.
Represent the business externally at conferences or in professional working bodies (IEC, CIGRE etc) and maintain active relationship with relevant academic institutions to promote research projects and other academic cooperations.
Provide ad-hoc technical guidance to the Engineering/Technology management team as required, e.g., joining customer negotiations or supplier audits.
**Engineering/Technology Practices**
Support Consulting Engineers to safeguard design qualities. Organize lessons-learnt in one's own domain and make sure they are well documented and communicated throughout the organization to prevent repeated mistakes.
Maintain an active role in product introduction, cost improvements, schedule adherence and problem resolution to meet business needs.
Provide technical consultation to cross-functional teams within the business to improve or resolve manufacturing, supply, or field issues.
**Competency** **Governance**
Develop technical competencies by establishing and delivering structured technical training schemes within one's own business lines.
Support Consulting Engineers in reviewing Engineering competency frameworks specific to one's own business line.
**People Development**
Actively support Consulting Engineers with staff development & succession planning.
Participate interviews for promotions or hiring within Engineering/Technology up to the level of Senior Engineer.
Actively mentor and coach identified high potential Engineering talents within one's business lines.
**Required Qualifications/Experience:**
+ Bachelor of Science in Computer Science, Machine Learning, Engineering, or Mathematics.
+ At least 10 years of experience in an engineering capacity
**Desired Characteristics**
+ Experience with Machine Learning technologies, and software systems architecture
+ Ability to work across organizations in a matrix environment
+ Preferably having taken a Senior Engineer role
+ Strong oral and written communication skills
+ Strong interpersonal, responsive and leadership skills
+ Problem analysis and resolution skills
+ Able to pursue Engineering integrity in adverse conditions
+ Able to interface effectively with most levels of the organization
+ Lean experience preferred
**Additional Information**
**Relocation Assistance Provided:** No
#LI-Remote - This is a remote position
GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

Lead AI ML Engineer
££0,000 - 5,000 GBP
Bonus
Hybrid WORKING
Location: Chelmsford, Central London, Greater London - United Kingdom Type: Permanent

Lead AI/ML Engineer
Chelmsford (Hybrid - 2 days onsite per week)
0,000 - 5,000 + 10% Bonus
Security Clearance: Must be eligible for UK SC Clearance

A globally respected research and technology organisation is seeking a Lead AI/ML Engineer to join its.

Title: DevOps Engineer ( AI/ML) 
Visa: GC, USC, H4 EAD br>Duration: long term CTH  br>Location:  Hybrid - 3 Days a week  < r>- Pittsburgh, PA
- Cleveland, OH
- Phoenix, AZ
- Birmingham, AL
- Dallas, TX
Interview: 2 Steps  br>
Need Updated LinkedIn with profile pic and two managerial reference shuld not be older than 2021. LinkedIn id , official  email and number of them.  < r>
  br>Description
We’re looking for a Senior Azure DevOps Engineer to support and implement an intelligent document-processing system using Retrieval-Augmented Generation (RAG). This is a hands-on role for someone who thrives on solving complex problems at the intersection of AI, cloud, and user experience. < r>
  br>
This role is to support the Azure Knowledge Search Product that is currently engaged in on a SOW (an intelligent document-processing system using Retrieval-Augmented Generation (RAG). This resource will be integrated with the TEK resources for a smooth hand off for implementation and support when the project is complete.
Required skills:

Job Title

Senior DevOps Engineer

  br>
Top Skills Details

Azure Dev/Ops Jenkins, Bitbucket/Git

Terraform / ARM

Containerization with Docker

Knowledge about Azure AI suite and RAG

Additional Skills & Qualifications

This resource will be closely paired with a Azure AI Engineer.

Azure, Terraform and ARM, Jenkins, Bitbucket, Containers, Contextual Understand of the Azure AI Suite of tools. IaC is the practice of managing and provisioning cloud resources through machine-readable definition files, rather than using physical hardware configuration or interactive configuration tools. It brings automation and predictability to the allocation of resources.

 

 AI/ML Data Scientist
br> Location: New York, NY br>
Role Summary:

Develop and evaluate machine learning and GenAI models to drive clinical, operational, or financial insights from healthcare data.

  br>
Responsibilities:


Train supervised and unsupervised models using Python (XGBoost, LightGBM, sklearn, PyTorch)
onduct data profiling, feature engineering, model evaluation using stratified validation
Implement model explainability (SHAP, LIME) and bias audits
Monitor model drift, fairness, and clinical relevance over time
Fine-tune or prompt LLMs for use cases such as summarization or information extraction
Build and evaluate multi-agent workflows using GenAI and frameworks like LangChain
Design prompt libraries and benchmark hallucination rates, sensitivity to input phrasing
Track experiments using MLflow, Weights & Biases


  br>
Required Qualifications:


–5 years in applied data science or machine learning < r> E perience with Snowflake SQL, Python ML ecosystem, healthcare data


  br>
Preferred Qualifications:


xposure to Epic Clarity data or unstructured clinical notes
Hands-on with transformer models, LLM APIs, and embedding-based retrieval

About Decoded

We are Decoded, the pioneers of transformative technology education. We democratise cutting edge skills. We help transform traditional businesses into tech companies. We give our learners the skills and confidence to embrace the future of work.

Our products and methodologies have been shaped through our collaboration with some of the largest and most technologically progressive organisations in the world. We use the intelligent, ethical and creative application of technology to lay the foundations for a more productive and promising world – one with unlimited possibilities.

Overview

As the Senior AI & ML Instructor, you will work across our AI Portfolio product workstreams, including the Apprenticeship Level 6 AI Engineer programme. Key responsibilities include teaching, providing learner support and developing content.

You will contribute to ensuring high-quality learning, satisfied customers and learners. Working alongside the Portfolio Director of AI, you will develop and grow the AI product line across our upskill, reskill and apprenticeship programmes.

The core teaching window is 09:00-17:00 UK time with occasional delivery outside core hours (<10 % of sessions) for global clients.

Accountabilities

As a Senior AI & ML Instructor at Decoded, you are accountable for:

• Ensuring your allocated teaching sessions are delivered to a consistently high quality.

• Working with the Learner Success Coaches (LSCs) to ensure learners progress through the programme. Each

• Learner will have the support of an LSC to support them with practical and pastoral guidance.

• Responding to and resolving learner enquiries to support them in acquiring the required skills and knowledge throughout their programme.

• Supporting content and product development across the Decoded programme curriculums.

• Design and develop learning solutions, as well as initiate new products and manage them through development to operation.

• Ensuring compliance with programme standards (which may include awarding bodies or organisations such as Ofsted, ESFA, partners, and other authorities) with respect to all procedures associated with teaching, learning and assessment.

Specific Role & Responsibilities

Teaching Decoded workshops:

• Delivering effective teaching across various formats, addressing technical challenges efficiently and ensuring timely and smooth execution with a strong grasp of curriculum and standards.

• Fostering a safe and inclusive learning environment.

• Familiarising yourself with the course structure and content, proactively filling gaps in your knowledge

• Contributing to internal training on content and delivery methodologies.

• Achieve teaching quality scores that meet or exceed quality indicators

Learner coaching:

• Responding to learner queries in a timely and effective way on the Help Centre related to course materials, assignments and projects, for example.

• Providing support to learners with the tools and environments used in Decoded programmes.

• Creating a safe coaching environment for learners, in relation to safeguarding, e-safety and wellbeing, for example.

• Staying up-to-date with the latest trends and the specific tools and technologies covered in Decoded programmes.

• Supporting Learner Success to assess evidence from learners on the knowledge, skills and behaviours they are acquiring throughout the programme.

• Supporting Learner Success to provide timely feedback on learners’ projects at the end of each module as part of their assessment.

Product development:

• Providing detailed feedback on our content to drive product improvements.

• Contribute to the innovation and development of content and technical learning products.

• Working closely with Product Developers and Learning Experience Designers to develop curriculum content that meets the expectations and needs of all stakeholders.

Skills & behaviours

We are looking for candidates with a mindset built on:

• Building collaborative relationships

• Solving problems elegantly and creatively: “find a way or make a way”

• Organisational skills - proactivity, process improvements

• Excellent communication skills: adaptable, clear and consistent written, verbal, 1:1, group

• A flexible, can do attitude and a willingness to learn

• Striving for excellence in all areas

• Exceptional attention to detail to deliver timely, quality results

• A passion to learn and adapt

Essential skills for working across our AI portfolio include:

• Demonstrable professional experience in end-to-end machine learning projects, including data preparation, model development, evaluation, deployment and monitoring.

• Up-to-date knowledge of core ML techniques, with expertise in at least one specialty area (e.g. NLP/LLMs, computer vision or generative models).

• Experience with at least one major cloud provider (AWS, Azure or GCP), and familiarity with MLOps toolchains, CI/CD pipelines, containerisation (Docker/Kubernetes) and orchestration/versioning tools (e.g. MLflow, Kubeflow).

• Proficiency with Python and source control and collaboration tools (Git, GitHub/GitLab).

• Prior teaching, mentoring or coaching experience; confident delivering to mixed‑ability cohorts.

• Excellent communication skills, with the ability to translate complex concepts into clear, jargon-light language for diverse audiences.

Desirable:

• Formal teaching qualification or EPA assessor training.

• Experience authoring interactive labs and workshops

• Experience with data governance, responsible AI or GenAI prompt engineering.

What does success look like?

Your performance will be measured and driven by:

• Enabling learners to apply newly learned techniques to their professional environment

• Delivering regular high-quality learning engagements with learners

• Coaching through the application of techniques that are new to learners

• Striving for excellence in everything you do: you don’t accept mediocrity in yourself or the team around you

• Solving problems elegantly and creatively: “find a way or make a way”

A successful candidate will be expected to achieve the following within 3 months:

• Autonomous management of content development deadlines

• Autonomous management of workshop delivery

• Confidence to successfully deliver at least 60% of our Apprenticeship workshops

• An overall Teacher KPI score of 75%

• Autonomous management of well-informed and timely responses to all learner queries on the helpdesk

Who are you?

You are:

• A passionate technologist with over 2 years of Data Science (or similar) industry experience, ideally including teaching experience

• Confident with live coding in Python

• An excellent and adaptable communicator, verbally and in writing

• Self-motivated and a problem solver who takes initiative

• Passionate about technology and learning

• A team player who is eager to improve our programmes wherever possible and contributes to overall morale

• Always keen to learn, improve and stretch your own knowledge, skills and behaviours

• Familiar or experienced with Data Science and AI concepts and tools

Team reporting and structure

You will report into the Portfolio Director, in the Product Department.

Day to day

This role can be delivered fully remote within the UK, provided the working location has consistently reliable Wifi for workshop delivery. The Decoded office in London Liverpool Street is available to all Decoded employees for non-workshop delivery work.

Your working hours will be 09:00 - 17:00.

Learning and progression

We run a dedicated learning calendar to hone craft skills in teaching, leadership, strategy and other relevant disciplines.

Quarterly performance reviews embedded within our culture of feedback will ensure you are recognised and rewarded for the value that you bring to Decoded.

Apart from the above, working at Decoded means you’ll get:

• 33 days* leave per year (inclusive of bank holidays) and an extra tenured holiday enabling team members to gain an additional day for every year you are with us (after the first 2 years) up to a maximum of 8. We also close the office for 2 full weeks at Christmas at

  Decoded's discretion, which does not come out of your holiday allowance.

• Flexible working, including work-from-home

• Modern, flexible and fully serviced offices at WeWork in Liverpool Street, London

• Company pension/retirement contributions

• Health care, including dental, medical, and vision*, and to help you prioritise your wellbeing

• Travel insurance

• Social events and all company gatherings

• Continuous learning and development. You will be challenged with lots of responsibility and exciting projects in an environment that encourages learning

• A work environment that values creativity, personal growth and collaboration

• Free monthly lunches

• Laptop and virtual work equipment kit provided

Decoded is committed to safeguarding and promoting the welfare of children, young people and vulnerable adults and expects all staff and volunteers to share this commitment

Senior AI/ML Research Scientist - Data Science and Machine Learning
£60,000 - 70,000 GBP
+ Bonus & Package
Onsite WORKING
Location: Chelmsford, East of England - United Kingdom Type: Permanent

Senior AI/ML Research Scientist - Data Science and Machine Learning
Location: Chelmsford, UK (with flexible UK-wide options)
Job Type: Full-time Permanent
Security Clearance: Must be eligible for UK security cle.

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