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Machine Learning Ops Engineer

Michael Page Technology

Rebel Recruitment Limited

Technical AI Pre-Sales Consultant

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Technical AI Pre-Sales Consultant

Software EngineerSedgefield | Hybrid working (typically 3 days on-site) | £38,000 - £46,000 per annumAbout the Role

CPI is seeking a AI Software Engineer to join their Electronic Engineering team in Sedgefield, delivering AI, software and digital solutions as part of end-to-end product development programmes.

This is not a maintenance or support role; You will be involved in building real products - from initial concept through to deployment - working alongside electronics and hardware engineers to deliver innovative solutions used in healthcare, medtech, sensors, wearables, and industrial environments.

You will contribute to the full software lifecycle, including application development, cloud-based systems, and (where applicable) AI-enabled solutions. This role offers rare exposure to the complete journey from prototype to market, including integration with hardware, sensors, and embedded systems.

Hybrid working is supported, typically three days per week on-site, with flexibility depending on project needs.

What You’ll Be Responsible For:

Product & Software Development

Design, build, and deliver software products from concept through to production
Contribute to full-stack development across backend services, web, and mobile applications
Work closely with electronics and hardware engineers to integrate software with physical devices and sensors

Core Technology Stack

Develop backend systems and applications using Python (essential)
Build user interfaces and applications using React and React Native
Contribute to cloud-hosted web applications, ideally using Node.js or similar technologies

AI & Advanced Software (where applicable)

Contribute to AI-enabled applications, including data-driven and intelligent systems
Support model training, fine-tuning, and deployment where experience allows
Work with tools and approaches such as:
- MLflow and model lifecycle tools
- Gradient boosted trees or custom model development
- AI application frameworks (e.g. LangChain, RAG-style architectures)

Experience across both AI application developmentandmodel development is highly desirable, though not essential.

Collaboration & Delivery

Work within a small, highly capable multi-disciplinary team
Take ownership for delivering complex software components in a hands-on way
Contribute to technical decision-making, architecture discussions, and solution design
Engage across busy project environments with frequent collaboration and stakeholder interaction

About You:

You are a hands-on software engineer who enjoys building products rather than maintaining legacy systems. You’re comfortable working across multiple technologies and don’t need everything tightly defined before you start. You’ll thrive in a small team environment, where flexibility, curiosity, and self-direction are valued. You’ll bring:

Strong Python development experience (essential)
Experience building applications using React and/or React Native
Full-stack development experience with modern frameworks and technologies
Evidence of delivering complex projects or products
A practical, problem-solving mindset

Desirable (but not essential):

Experience with Node.js in cloud or web applications
Exposure to AI / machine learning, including model development or AI-powered applications
Experience with firmware, microcontrollers, Raspberry Pi, or embedded systems
Use of lightweight ML frameworks (e.g. TensorFlow Lite) on devices
Personal projects, side projects, or self-driven development work

Candidates who have worked in small teams or on self-led technical projects often thrive in this environment.

Why Join CPI?

Rare opportunity to work on true end-to-end product development
Exposure to hardware, electronics, sensors, and software in one role
Challenging, varied technical problems across multiple industries
Small, collaborative team with wide technical scope
Competitive salary (£38k-£46k) and hybrid working

Location & Working Pattern

Based at CPI’s Sedgefield site
Hybrid working typically 3 days on-site, with flexibility based on project needs
Some weeks may require increased on-site presence
Role operates in a busy, highly collaborative environment, so ideally someone who can work closely with hardware engineers onsite

Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Salary: Up to £75k DOE + Bonuses & Benefits
Location: Cheltenham (3 days on-site per week)
Security Clearance: Active Enhanced DV (West) Required
Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI

Who We Are?

We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised leader in technology, consulting, and engineering services. Working across high-impact public and private sector projects, this role offers excellent career progression and the opportunity to work at the forefront of innovation in AI, machine learning, and data science.

What Will You Be Doing?

Applying advanced data science and machine learning techniques to solve complex challenges
Conducting research and innovation to develop cutting-edge solutions
Keeping up to date with the latest developments in ML and data technologies
Engaging in the full data science lifecycle, from data collection to model deployment
Producing clear and well-documented technical outputs
Delivering high-quality, impactful project components
Providing practical, data-driven solutions to clients
Assisting in proposal development and pitching to stakeholders
Developing a deeper understanding of AI and data transformation opportunities within the Defence and Security sector

What Are We Looking For?

Essential Skills & Experience

Active Enhanced DV Clearance
Proven experience in applying data science or machine learning within Defence, Security, public sector, or academia
Strong knowledge of machine learning architectures and models
Methodical approach to problem-solving and analytical thinking
Ability to communicate complex technical concepts to a range of audiences
Strong client relationship management skills

Desirable Skills & Experience

Experience with cloud-based machine learning services (AWS, Azure, GCP)
Proficiency in Python and its libraries for data analysis, statistics, machine learning, and visualisation
Expertise in machine learning frameworks such as TensorFlow and PyTorch
Knowledge of Natural Language Processing (NLP) and Computer Vision techniques
Strong understanding of probability concepts and the machine learning lifecycle
Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo)
Awareness and application of Ethical AI principles

This role offers a unique opportunity to work on cutting-edge projects, expand your expertise, and contribute to innovative AI and data solutions within a highly secure and impactful environment.

Ready to take your career to the next level? Apply today and be part of something extraordinary!

Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you.

KEY SKILLS:

Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance

About The Company

Founded in 2016, Spyrosoft is a global technology consulting company specialising in software development, digital transformation, and IT services. Recognised by the Financial Times as one of Europes fastest-growing tech companies in 2021 and 2022, we deliver innovative solutions across industries including automotive, healthcare, and financial services.

Role Overview

As a Senior Technical Pre-Sales Consultant, you will play a key role in bridging the gap between business needs and advanced Technology and AI solutions. You will work closely with clients and internal teams to translate business challenges into data-driven strategies, shaping, prototyping and consulting on innovative technology concepts and AI solutions that drive measurable impact. This role also contributes to the growth and development of our AI Consulting capability within the UK market. You will be reporting to the Chief Executive Officer.

Key Responsibilities

Lead client discovery sessions and pre-sales activities, proposal creation, identifying technology and AI opportunities and defining project scope
Proven GenAI and LLM expertise, from RAG and fine-tuning to observability, focused on driving measurable business outcomes
Advise on technology and architecture decisions, balancing cost, risk, and performance
Advising on end-to-end technology and AI projects, ensuring quality, stakeholder alignment, and business impact
Any other reasonable requests in line with your job role

Skills And ExperienceEssential

Proven experience in technology and AI consulting incl software development with a strong track record of delivering business value
Proficiency in Python and ML/DL frameworks (e.g., scikit-learn, PyTorch, TensorFlow)
Experience with AI/ML tools (e.g., Jupyter, MLflow, Vertex AI, Azure ML, Amazon SageMaker
Experience of creating delivery client-facing proof of concepts
Strong knowledge of cloud platforms (Azure, AWS, GCP) and MLOps best practices
Experience with Generative AI and LLMs (e.g., RAG, fine-tuning, prompt engineering)

Desirable

Degree in Business, Computer Science, Engineering, or related field

Personal Attributes

Strong analytical and strategic thinking skills
Excellent communication skills with the ability to translate technical concepts into business language
Proactive, innovative, and solution-oriented mindset

Benefits

25 days holiday, plus bank holidays plus birthday paid each year
Sick leave following probation (20 days per each rolling period each year)
Pension contribution is 10% employer from qualifying earnings following auto enrolment after 3 months service
Private medical insurance via AXA after 6 months of service
Life assurance (5 x salary) after 6 months’ service
Access to a free Eye voucher with Specsavers and a Flu vaccination with Boots
Access to the cycle-to-work scheme
Enhanced parental leave

Machine Learning Ops Engineer

Machine Learning Engineer - Contract

Location: Nottingham, UK (Hybrid)
Salary: £500 – £600 p/d (depending on experience)

About the Role

We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems.

Key Responsibilities

Design, develop, and deploy machine learning models and pipelines in production environments
Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions
Optimize model performance, scalability, and reliability
Build and maintain data pipelines and feature engineering workflows
Monitor and retrain models to ensure continued performance over time
Implement best practices for version control, testing, and CI/CD in ML systems
Stay up to date with the latest advancements in machine learning and AI technologies

Required Skills & Experience

Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn)
Experience deploying ML models using cloud platforms (AWS, Azure, or GCP)
Solid understanding of machine learning algorithms, data structures, and software engineering principles
Experience with data pipelines, APIs, and microservices architecture
Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes
Strong problem-solving skills and attention to detail

Desirable Skills

Experience with big data technologies (e.g., Spark, Hadoop)
Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow)
Experience working with NLP, computer vision, or recommendation systems
Understanding of data governance and security best practices

Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience)

What We Offer

Competitive rate
Flexible working arrangements (hybrid/remote options)
Collaborative and innovative work environment
Access to cutting-edge tools and technologies

How to Apply

Please submit your CV and a brief cover letter outlining your experience and interest in the role.

DXC Technology is committed to building diverse, inclusive teams. We welcome applications from all backgrounds and particularly encourage interest from women, underrepresented groups, and neurodivergent candidates. We offer reasonable adjustments throughout the hiring process and are dedicated to creating a supportive, accessible environment for everyone.

Machine Learning Ops Engineer

Location: Erskine / Newcastle

Candidates must be eligible for clearance and be a sole UK national

Are you passionate about bringing machine learning solutions into real-world production environments? Do you enjoy collaborating with others to build scalable, reliable systems? We are looking for a Machine Learning Ops Engineer to join our growing team. This role is ideal for someone who enjoys solving complex problems, working cross-functionally, and continuously developing their technical expertise in a supportive environment. If you dont meet every single requirement listed below, we still encourage you to apply. We value potential, curiosity, and a willingness to learn.

Key Responsibilities

Deploying, monitoring, and scaling machine learning models in production.
Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products.
Supporting the full ML lifecycle, from experimentation to deployment and optimisation.
Applying best practices in data engineering and contributing to architectural decisions.
Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency.
Contributing to a culture of knowledge-sharing and continuous improvement.

Key Skills & Experience

Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn.
Experience with frameworks such as TensorFlow, Keras, or PyTorch.
Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost.
Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe).
Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines.
Experience working with distributed data processing (e.g., PySpark) and SQL.
Understanding of software engineering best practices, including version control (Git).
Knowledge of CI/CD principles in ML environments.
Experience with cloud-native ML platforms is advantageous.

Why Join Us

Be part of a cutting-edge AI communitydriving digital transformation across the UK&I.
Work at the intersection of business innovation and emerging AI technologies.
Opportunity to shape the future of AI adoptionwithin some of the UKs most impactful industries.
Collaborative, forward-thinking environment with continuous learning and development opportunities.

Michael Page Technology

Machine Learning Engineer - London

Join the analytics team as a Machine Learning Engineer in the Technology industry, where you’ll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment.

Client Details

Machine Learning Engineer - London

This opportunity is with a medium-sized software development organisation. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients.

Description

Machine Learning Engineer - London

This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services.

Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection.
Build and maintain training and inference pipelines using PyTorch, and related ML frameworks
Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows.
Run structured experiments, evaluate model performance, and iterate based on measurable results
Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring.
Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability
Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools.
Build Model Context Protocol (MCP) Servers to enable standardised integration between models, APIs, and data sources.
Evaluate and integrate large language models into production systems where they add clear value.
Collaborate with product and business teams to translate requirements into practical ML solutions.

Profile

Machine Learning Engineer - London

A successful Machine Learning Engineer should have:

Strong foundation in machine learning, deep learning, and optimisation
Hands-on experience training, evaluating, and deploying ML models in real-world systems
Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem
Experience with audio or speech models and frameworks.
Experience building and maintaining end-to-end ML pipelines and MLOps tooling (eg MLflow, Weights & Biases, DVC, or similar).
Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred)
Practical experience designing agentic AI systems and integrating models with external services
Comfortable owning the full ML life cycle, from data preparation to production deployment
Clear communicator who can work effectively across technical and non-technical teams

Job Offer

Machine Learning Engineer - London

Competitive salary ranging from £75,000 to £95,000 per annum.
Comprehensive benefits package to support your well-being.
Opportunity to work in a leading organisation within the insurance industry.
Collaborative and innovative work environment in London.
Chance to work on impactful projects using the latest technologies.

If you’re a passionate Machine Learning Engineer looking to make a difference in the Technology sector, we encourage you to apply and be part of this exciting opportunity in London

Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 – £600 p/d (depending on experience)

About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems.

Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments

Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions

Optimize model performance, scalability, and reliability

Build and maintain data pipelines and feature engineering workflows

Monitor and retrain models to ensure continued performance over time

Implement best practices for version control, testing, and CI/CD in ML systems

Stay up to date with the latest advancements in machine learning and AI technologies

Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn)

Experience deploying ML models using cloud platforms (AWS, Azure, or GCP)

Solid understanding of machine learning algorithms, data structures, and software engineering principles

Experience with data pipelines, APIs, and microservices architecture

Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes

Strong problem-solving skills and attention to detail

Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop)

Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow)

Experience working with NLP, computer vision, or recommendation systems

Understanding of data governance and security best practices

Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience)

What We Offer Competitive rate

Flexible working arrangements (hybrid/remote options)

Collaborative and innovative work environment

Access to cutting-edge tools and technologies

How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role.

TPBN1_UKTJ

Rebel Recruitment Limited

Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 – £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role

Machine Learning Engineer - London

Client Details

Machine Learning Engineer - London

Description

Machine Learning Engineer - London

This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services.

Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection.
Build and maintain training and inference pipelines using PyTorch, and related ML frameworks
Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows.
Run structured experiments, evaluate model performance, and iterate based on measurable results
Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring.
Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability
Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools.
Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources.
Evaluate and integrate large language models into production systems where they add clear value.
Collaborate with product and business teams to translate requirements into practical ML solutions.

Profile

Machine Learning Engineer - London

A successful Machine Learning Engineer should have:

Strong foundation in machine learning, deep learning, and optimisation
Hands-on experience training, evaluating, and deploying ML models in real-world systems
Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem
Experience with audio or speech models and frameworks.
Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar).
Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred)
Practical experience designing agentic AI systems and integrating models with external services
Comfortable owning the full ML lifecycle, from data preparation to production deployment
Clear communicator who can work effectively across technical and non-technical teams

Job Offer

Machine Learning Engineer - London

Competitive salary ranging from 75,000 to 95,000 per annum.
Comprehensive benefits package to support your well-being.
Opportunity to work in a leading organisation within the insurance industry.
Collaborative and innovative work environment in London.
Chance to work on impactful projects using the latest technologies.

If you’re a passionate Machine Learning Engineer looking to make a difference in the Technology sector, we encourage you to apply and be part of this exciting opportunity in London