Remote AI/ML Engineer Jobs

We re building something smart - and we re moving fast. Ready to join us?

At Neologik.ai, we’re not just another consulting company - we re a high-velocity team crafting an AI-driven platform that s reshaping how businesses operate. Built natively on Azure and powered by the latest in Microsoft tech, our solution helps companies deploy intelligent agents, automate workflows, and accelerate innovation at scale.

As demand surges for our product, we are currently hiring for a Senior Python Developer with Azure experience and a footing with AI who s ready to move at our speed.

If you’re passionate about AI, thrive in agile, fast-paced environments, and love turning bold ideas into real-world solutions, this is your moment. You ll join the core team building Neologik - a next-generation AI platform that s already helping businesses create and manage powerful automation through models, agents, and reusable templates.

Ready to build the future with us?

The Role at a Glance:

AI / Azure / Python Developer

UK Remote

Up to £90,000

Benefits include flexible remote work and an environment that values speed, quality, and autonomy.

Product / Service: Neologik is an accurate, private & efficient multipurpose automation tool for workflow and documentation.

Culture: No red tape, no endless meetings - just real business impact for clients.

Work with smart people who care about what they build and providing solutions for customers.

Pedigree: Seasoned Founding Team. Our leadership team has spent decades in technology delivery, working through the mega trends of Internet, Public Cloud and now AI.

Your Skills: Experience with Azure s native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# skills, VS Code (ideally with AI tools like Copilot), familiarity with Docker, Kubernetes, and scalable cloud-native architecture, and a track record of working in agile teams using Azure DevOps for CI/CD and automated testing.

Who we are:

At Neologik, we re redefining how businesses harness the power of artificial intelligence. Our cutting-edge platform helps companies quickly and cost-effectively implement AI strategies that drive real results - from automating workflows to deploying intelligent agents and managing complex AI models at scale.

We re not just building tools - we re building the foundation for smarter, faster, and more adaptable enterprises.

Key Responsibilities:

• Build and deploy AI-first features using Azure AI Foundry, Azure AI Search, Cosmos DB, Docker, and AKS

• Design and implement scalable architecture with cloud-native tools alongside a collaborative, fast-moving team

• Code primarily in Python and C# - with bonus points if you can jump into React.js when needed

• Speed up development using Visual Studio Code with GitHub Copilot (or your preferred AI coding assistant)

• Work in a tight feedback loop: branch, commit, pull, test, and ship - all through Azure DevOps

• Write clean, tested, production-ready code - unit testing is second nature, not an afterthought

• Participate in focused sprints and daily standups - we work lean, iterate fast, and learn as we go

What You ll Bring to the Team:

• Proven experience with Azure s native AI stack, including AI Foundry, Azure Search, Cosmos DB, and AKS

• Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code

• Proficiency in Visual Studio Code, ideally with tools like GitHub Copilot or other AI-assisted development extensions

• Solid understanding of Docker, Kubernetes, and modern cloud-native architectural patterns

• Hands-on experience working in agile teams, with deep familiarity in CI/CD workflows, branching strategies, pull requests, and test automation using Azure DevOps

• An agile, curious mindset - adaptable, collaborative, and eager to explore new ideas and technologies

Bonus Points For:

• Experience building user interfaces with React.js

• A passion for experimenting with emerging AI tools and frameworks

Sounds like a good fit? Apply here for a fast-track path to our Leadership Team.

Application notice We take your privacy seriously. As you might expect you may be contacted by email, text or telephone. Your data is processed by our talent partner RR (Recruitment Revolution) on the basis of their legitimate interests in fulfilling the recruitment process. Please refer to their Data Privacy Policy & Notice on their website for further details.

Azure Data Engineer

Tenth Revolution Group

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK.

They are on a mission to help businesses to reduce their carbon emissions, through the use of their intelligent sustainability platform - and your role will focus on the ongoing development and expansion of this, spanning both front-end and back-end development!

The platform is powered by Microsoft’s Cloud ecosystem - including Azure, Power Apps, Power Pages and Power BI, and allows for real-time engagement and AI-guided action plans for carbon reduction.

Responsibilities include:

Use Azure Data Factory to ingest, transform, and expose data across the platform

Help centralise data into a Data Lake, ensuring it’s clean, structured, and accessible

Build data pipelines for LLMs and integrate tools like GPT to drive intelligent outputs

Develop user-facing applications using Power Apps and Power Pages

Design and manage APIs to connect front-end applications and integrate external services (e.g. procurement systems, AI tools)

Collaborate directly with users to turn complex needs into streamlined solutions

It’s a broad role with lots to get involved in!

We’re not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things!

Benefits include:

Salary up to 70,000 depending on experience

25 days annual leave plus bank holidays, plus your birthday off

Pension with 3% employer and 5% employee contributions

Generous maternity and paternity policy

Allocated training budget for everyone

Regular company get-togethers with expenses paid

If you’re excited by the prospect of working for a mission-driven organisation who are already making a big impact, apply today!

Please Note: This is a role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We’re the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at (url removed)

Data Engineer & Power Platform Developer

Tenth Revolution Group

A small and highly successful organisation in the sustainability space are seeking a Data Engineer with some Power Platform experience to join their team. They have an office space in London, though this role is remote and is therefore open to candidates across the UK.

They are on a mission to help businesses to reduce their carbon emissions, through the use of their intelligent sustainability platform - and your role will focus on the ongoing development and expansion of this, spanning both front-end and back-end development!

The platform is powered by Microsoft’s Cloud ecosystem - including Azure, Power Apps, Power Pages and Power BI, and allows for real-time engagement and AI-guided action plans for carbon reduction.

Responsibilities include:

Use Azure Data Factory to ingest, transform, and expose data across the platform

Help centralise data into a Data Lake, ensuring it’s clean, structured, and accessible

Build data pipelines for LLMs and integrate tools like GPT to drive intelligent outputs

Develop user-facing applications using Power Apps and Power Pages

Design and manage APIs to connect front-end applications and integrate external services (e.g. procurement systems, AI tools)

Collaborate directly with users to turn complex needs into streamlined solutions

It’s a broad role with lots to get involved in!

We’re not expecting you to have experience with everything mentioned above - the core skills are Azure Data Factory, and having a self-starter mentality with an enthusiasm to learn new things!

Benefits include:

Salary up to £70,000 depending on experience

25 days annual leave plus bank holidays, plus your birthday off

Pension with 3% employer and 5% employee contributions

Generous maternity and paternity policy

Allocated training budget for everyone

Regular company get-togethers with expenses paid

If you’re excited by the prospect of working for a mission-driven organisation who are already making a big impact, apply today!

Please Note: This is a role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Data and AI roles in the UK, offering more opportunities across the country than any other. We’re the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

Technical Product Manager - Data, GCP, BigQuery, Cloud, Pyton, CI/CD, MLOps

Role Profile

Role Title: Technical Product Manager (Dynamic Allocation Services)

Reporting To: Head of Product

Location: Birmingham / Remote (with occasional travel to customer sites)

Summary

The Technical Product Manager (Dynamic Allocation Services) is responsible for driving the technical direction, development, and optimisation of our product. Combining product management with strong expertise in algorithms, data modelling, and optimisation, this role ensures that complex allocation logic is delivered as scalable, reliable, and commercially valuable product features.

Acting as the link between mathematical models, engineering teams, and business requirements, the Technical Product Manager actively seeks out opportunities to improve system performance, defines the KPIs to measure success, and designs the algorithms to achieve it. These are then translated into structured work packages for the engineering team to implement. Working alongside the Innovation Product Manager, this role provides complementary leadership, with a focus on technical depth, algorithmic design, and measurable performance improvement.

Key Responsibilities

Algorithm Design & Ownership

Act as the technical thought leader for DAS, applying advanced mathematics and optimisation techniques to solve complex real-world allocation problems.

Design new algorithms and refine existing models to ensure DAS delivers accurate, scalable, and commercially valuable outcomes.

Own the definition and documentation of allocation logic, ensuring clarity for engineering teams and long-term maintainability.

Continuous Improvement & KPI Measurement

Proactively identify opportunities for system enhancement, using operational data, simulations, and industry insight.

Define measurable KPIs to evaluate algorithm performance and the impact of incremental improvements.

Establish and maintain a structured cycle of experimentation, validation, and refinement.

Translation into Delivery

Break down complex algorithmic concepts into clear requirements, specifications, and work packages for the engineering teams.

Collaborate closely with developers to ensure algorithms are implemented correctly, tested thoroughly, and deployed with confidence.

Support version control, testing strategies, and validation processes to maintain the technical integrity of DAS.

Collaboration & Stakeholder Engagement

Work alongside the Innovation Product Manager to align technical development with functional roadmap and commercial objectives.

Communicate complex technical ideas to non-technical stakeholders clearly and pragmatically.

Provide expert guidance and thought leadership internally and externally, ensuring DAS remains at the forefront of decision-automation solutions.

Customer Engagement & Support

Act as the product s technical ambassador with customers, supporting onboarding and implementation.

Provide expert guidance on how DAS can address customer planning and analytical needs.

Collect and analyse customer feedback to inform technical priorities and product roadmap refinements.

Experience & Knowledge Required

Education & Background

Degree in Mathematics, Computer Science, Data Science, Engineering, or related field.

Proven experience in technical product management, data science, or algorithm-heavy environments.

Technical Expertise

Strong knowledge of optimisation, statistical modelling, and applied mathematics.

Familiarity with Python and ability to translate algorithmic design into technical specifications.

Experience designing or managing decision-support systems, simulations, or optimisation engines.

Familiarity with cloud environments (e.g. GCP, BigQuery) and modern deployment practices (CI/CD, MLOps).

Product & Delivery Skills

Ability to translate complex technical concepts into structured product requirements.

Experience in Agile product delivery, backlog management, and sprint planning.

Up to 10% discretionary bonus

Fully flexible benefits package including private medical insurance, life assurance, and discounted shopping & travel perks

Personal development plan with access to training, conferences, and real career progression

Machine Learning Operations Lead

Lead Machine Learning Operations Engineer - Remote - 70- 90k + Excellent Benefits

We’re seeking a Lead Machine Learning Operations Engineer to spearhead the development and optimisation of our cutting-edge data platform. This is a strategic, hands-on leadership role where you’ll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production.

What you’ll be doing as Lead ML Ops Engineer:

Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake

Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis)

Driving integration with cloud-based data storage solutions such as Snowflake

Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals

Establishing best practices for model deployment, monitoring, and lifecycle management

Conducting performance tuning, load testing, and reliability engineering

Managing CI/CD workflows and infrastructure as code via Azure DevOps and GitHub

Mentoring junior engineers and fostering a culture of technical excellence and innovation

What we’re looking for from the Machine Learning Operations Lead:

Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud-native architectures

Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture

Hands-on experience with Docker, container orchestration, and scalable API design

Excellent communication and stakeholder management skills

Ability to drive strategic initiatives and influence technical direction

Bonus: experience with Azure Functions, Azure Containers, or Application Insights

Benefits for the Machine Learning Operations Engineer:

25 days holiday (rising with service) + bank holidays

Annual discretionary bonus

Enhanced pension scheme

Flexible working and flexi-time options

Healthcare cash plan

Electric vehicle salary sacrifice scheme

Discounts scheme

Wellbeing app

Enhanced maternity and paternity leave

Life assurance (4x salary)

Cycle to Work scheme

Employee referral scheme

If you are interested in this position please click ‘apply’.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

Senior Software Engineer (AI)

+3

IntaPeople are delighted to represent a dynamic financial services organisation based in Cardiff who have been recognised as a Great place to Work for several years running. Due to a large amount of continued growth we re looking to hire an experienced AI focussed Software Engineering within their core product team.

The team work remotely so candidates based throughout the UK are welcome to apply but a Cardiff based office location is also available for hybrid working if desired. Candidates may need to visit the office on a Ad-hoc basis, so candidates must be living and working within the UK.

This is a fantastic time to join their product teams who have a wide range of technology products, software and services on offer. Being an experienced Engineer you will also contribute to a wide range of development projects whilst championing engineering excellence which will help shape the future of their products.

Skills and experience at a glance:

5-10years experience as a Software Engineer

Significant experience in software engineering with proficiency in at least one programming language such as Golang, Java, Python, or Typescript.

Strong understanding of AI/ML concepts and ability to integrate AI-driven solutions into applications

Experience with front-end and back-end frameworks (e.g., React, Express.js, or equivalents)

Hands-on experience with cloud platforms (AWS, Azure, GCP) and cloud-native architectures

Familiarity with CI/CD pipelines, DevOps practices, and automation tooling

Ability to work effectively in Agile/Scrum teams and adapt to evolving technologies

Knowledge of accessibility standards, secure software development practices, and responsible AI principles

Responsibilities at a glance:

You ll be responsible for building clean, idiomatic, and maintainable code aligned with business and AI-driven requirements whilst rapidly prototyping AI-powered solutions, including agentic workflows and proof-of-concept applications

Contributing your technical experience and excellence to the wider engineering team you ll be required to maintain a suitable level of documentation around AI models and system architecture whilst continuous improvement across AI capabilities and team practices.

As a Senior level Engineer you will work effectively as a member of a close knit Scrum/Agile team whilst always practicing the importance of Secure Software Development.

Having skills in technologies such as Kubernetes, Docker and Database engineering (PostgreSQL/DynamoDB) would be desirable but not essential. Exposure to MLOps practices for deploying and monitoring AI models in production would also be highly desirable.

Role at a glance:

Senior Software Engineer (AI)

Fully remote or Hybrid positions available (UK only)

A competitive starting salary of circa £75,000 depending on experience

25 days annual leave (plus bank holidays) rising upon length of service

Ability to buy or sell up to 5 days per year

A matched pension of up to 6%

Private Health Insurance

Cycle to work scheme

Training budgets

Bonus and share schemes

Plus so much more .

For more information, please call Nathan Handley on (phone number removed) or click APPLY now to be considered.

As mentioned, the teams do work largely on a remote basis to candidates will need to have a suitable home working environment and be comfortable with ad-hoc travel to Cardiff 3-4 times per year.

We are unable to provide sponsorship opportunities.

Contract Data Scientist - outside IR35, 100% remote

My client, a specialist engineering consultancy with a client base spanning a number of technical engineering sectors, requires an experienced Data Scientist for a contract role outside IR35. This role is 100% WFH.

The Data Scientist will utilise their expertise to analyse complex data sets and provide insights to give clients a competitive advantage. The Data Scientist will be responsible for designing and implementing data-driven solutions to address business problems and collaborate with cross-functional teams to deliver high-quality analytics solutions.

The Data Scientist will have experience in using a variety of techniques to analyse complex datasets and develop data models. You will be experienced in data visualisation, understanding how to contextualise results and communicate insights to both technical and non-technical audiences.

Computer vision experience is essential for this role.

Responsibilities

Work with cross-functional teams to identify business problems and translate them into data-driven solutions.

Develop algorithms and statistical models to analyse and interpret complex data sets.

Collaborate with software engineers to integrate models into the production environment.

Communicate insights and results to technical and non-technical stakeholders.

Ensure data quality and accuracy in all deliverables.

Continuously monitor and improve the performance of models and algorithms.

Stay up-to-date with emerging trends and technologies in the field of data science.

Requirements

Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.).

Strong expertise in statistical modelling, machine learning, and data mining techniques.

Experience in computer vision is essential.

Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage.

Experience with data analysis, data visualization, and data cleansing.

Experience in applying data science within the context of engineering, manufacturing, or industrial operations desirable.

Degree in Computer Science, Mathematics, Statistics, Data Science, or a related field.

Machine Learning Operations Engineer

Machine Learning Operations Engineer - Remote - 50- 70k + excellent benefits

We’re looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands-on role where you’ll help build and maintain the infrastructure that supports machine learning models in a live environment.

What you’ll be doing as the Machine Learning Operations Engineer:

Developing and maintaining API services using Azure and Databricks

Managing caching layers with Azure Cache (Redis)

Using Delta Live Tables for data processing and analytics

Integrating with cloud-based data storage solutions like Snowflake

Collaborating with cross-functional teams in an agile environment

Supporting analytics, model deployment, and data-driven decision tools

Conducting performance, load, and end-to-end testing

Writing pipeline code and managing deployments via Azure DevOps (GitHub)

What we’re looking for from the Machine Learning Operations Engineer:

Solid experience in ML Ops, particularly with Azure and Databricks

Familiarity with Postgres, Redis, and Snowflake

Understanding of Delta Lake Architecture, Docker, and container services

Experience building and orchestrating APIs

Strong problem-solving and communication skills

Bonus: exposure to Azure Functions, Containers, or Insights

Benefits for the Machine Learning Operations Engineer:

25 days holiday (rising with service), plus bank holidays

Annual discretionary bonus

Enhanced Pension scheme

Flexible working and flexi-time options

Healthcare cash plan

Electric vehicle salary sacrifice scheme

Discounts scheme

Wellbeing app

Enhanced mat and pat leave

Life assurance (4x salary)

Discounts on insurance

Cycle to Work scheme

Employee referral scheme

If you are interested in this position please click ‘apply’.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.

60000 - 70000 plus bonus

The Company

Opportunity to join a growing group of companies who provide the latest energy-efficient technologies in homes across the UK. The group is well established and work with utility partners, councils, landlord associations and private homeowners providing a Whole Home Approach to create warmer energy efficient homes, whilst reducing carbon emissions. With offices in Cardiff and Swansea this award-winning organisation is in a period of growth and looking for a Data Scientist to join the team.

The Role

We are looking for a highly experienced Data Scientist to work with the senior management team and reporting directly to the CEO, to identify areas for improvement and solve business problems. It is a fast-paced role working simultaneously on a variety of projects to achieve accurate and detailed results.

You will be based in the Swansea office and will be able to work hybrid remote some days on a flexible / occasional basis ensuring the needs of the business are met at all times.

Duties and responsibilities will include:

Mining data from a variety of company databases and systems

Preparation of data for analysis

Data analysis and interpretation, identifying patterns and potential insights

Statistical modelling and using machine learning techniques to identify trends and make forecasts

Evaluating model performance using different metrics and refining models to improve performance

Create visual representation of data to include graphs, dashboards and charts etc.

Presenting findings to senior management and stakeholders to help the business solve problems and improve operations

Working collaboratively with internal stakeholders to identity needs, communicate data driven recommendations and create actionable plans

Using data to identify future potential business problems

Keeping abreast and evaluation of new technologies and tools used for data analysis

Ensuring data is collected, stored and used ethically and responsibly

Requirements

The successful applicant will have the following qualifications, experience and qualities:

This is a senior position requiring extensive experience and proven results

Master’s degree in data science, applied data science or related field preferred

Experienced with database systems, SQL and full proficiency in Power BI

Mathematically minded with solid knowledge of statistical methods and probability

Experienced with various machine learning algorithms and frameworks

Analytical with a sound problem solving ability

Task orientated with a solid sense of urgency

Excellent communication skills with the ability to explain complex data results to internal stakeholders

Good presentation skills and able to create effective visual representation of findings

A team player

Previous project experience

In Return

This is a senior position in a large and growing organisation offering the successful applicant a high level of responsibility and opportunities. An excellent financial package is on offer for an applicant with proven experience and results.

For more information contact Kim Simpson of Work Wales for a confidential discussion

Snowflake Data Engineer

Location: Remote (Mostly remote with some occasional travel to Hemel Hempstead)

Contract: Outside IR35

Day rate: Up to £550 per day

Duration: 6 months

Start date: ASAP

Key skills: Snowflake, DBT, SQL, Python, AWS and Kimball

The Client who are in the process of migrating to SnowFlake therefore require extra support. As a result, they require someone from a strong SQL & Python development background with excellent working knowledge of Data Build Tool (DBT).

You will be undertaking aspects of the development lifecycle and be experienced in data modeling, process design, development, and testing. And whilst this company is going through a large-scale migration, this will present you with an opportunity to be at the cutting edge of data engineering.

YOUR SKILLS AND EXPERIENCE

A successful Senior Data Engineer here will have experience in the following:

Advanced SQL knowledge

SnowFlake (ideally certified)

Python development

AWS cloud experience essential, relating to data tooling and development

Working knowledge of Data Build Tool (DBT).

o Develop staging, intermediate and marts in DBT to achieve analytics requirements

o Optimize existing models to make it more reusable by following DBT best practices

o Spot opportunities for the models to be incremental over full refresh

o Organize sources and document sources in DBT

o Develop DBT macros for most frequently repeated tasks

Knowledge of Continuous Integration and Continuous Deployment (CI/CD)

Development experience in one or more object-oriented programming languages (e.g. Python)

Ability to work with senior stakeholders across multiple verticals

Remote AI/ML Engineer Jobs

Overview

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