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MLOps Tech Lead

Stackstudio Digital Ltd.

+13

Job Details Role / Job Title: MLOps Tech Lead Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Data Pipeline Development: Lead the technical direction of projects and ensure the use of Sainsbury’s best practices to the best quality.Data Integration: Lead and provide expertise on Integrate data from various sources, ensuring data consistency, integrity, and quality across the entire data lifecycle.Infrastructure Management: Provide guidance for the junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop). The Role As a Tech Lead , you will play a critical role in designing, building, and maintaining data pipelines and infrastructure that enable the development and deployment of machine learning models and drive engineering excellence. You will collaborate closely with data scientists, and lead ML engineers, and software engineers to ensure data is clean, accessible, and optimised for large-scale processing and analysis. Your Responsibilities Data Pipeline Development: Lead the technical direction of projects and ensure the use of Sainsbury’s best practices to the best quality.Data Integration: Lead and provide expertise on Integrate data from various sources, ensuring data consistency, integrity, and quality across the entire data lifecycle.Infrastructure Management: Provide guidance for the junior & Mid Data Engineers on the best practices when building and managing data infrastructure, including data lakes, warehouses, and distributed processing systems (e.g., PySpark, Hadoop).Data Preparation: Collaborate with data scientists to prepare and transform raw data into formats suitable for machine learning, including feature engineering and data augmentation.Automation: Implement automation tools and frameworks (CI/CD) to streamline the deployment and monitoring of machine learning models in production.Performance Optimisation: Optimise data processing workflows and storage solutions to improve performance and reduce costs.Collaboration: Work closely with cross-functional teams, including data science, engineering, and product management, to deliver data solutions that meet business needs.Mentorship: junior and mid-level data engineers and provide technical guidance on best practices and emerging technologies in data engineering and machine learning and helping to enhance their skills and career growth.Knowledge Sharing and Empowerment: Promote a culture of knowledge sharing within the engineering teams by organising regular technical workshops, brown bag sessions, and code reviews.Innovation and Continuous Improvement: Foster a collaborative and inclusive team environment that encourages continuous learning and improvement. Your Profile Essential Skills / Knowledge / Experience Knowledge of machine learning frameworks (e.g., PySpark, PyTorch) and model deployment tools (e.g., MLflow, TensorFlow Serving).Strong experience with data processing frameworks (e.g., Apache Spark, Flink).Expertise in SQL and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB, Cassandra).Hands-on experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services (e.g., Snowflake, S3, BigQuery, Redshift).Experience with containerisation and orchestration tools (e.g., Docker, Kubernetes).Familiarity with version control systems (e.g., Git) and CI/CD pipelines. Desirable Skills / Knowledge / Experience Certifications: AWS Certified Big Data Specialty, Google Professional Data Engineer, or equivalent. Soft Skills:o Excellent problem-solving and analytical skills.o Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.o Ability to work independently and in a team-oriented, collaborative environment. Leadership and Communication Strong leadership skills with the ability to inspire and guide team.Lead scrum ceremonies as and when needed (Standup, Planning, and grooming sessions).Excellent verbal and written communication skills, with the ability to articulate complex technical concepts.Creating a safe and inclusive environment where all team members feel that their input is valued and are never dissuaded from speaking up or asking questions. Collaborative Attitude Strong team player with a collaborative approach to working with cross-functional teams within the Media Agency.Open to feedback and willing to provide constructive criticism to others.Be available for the team, responding within a reasonable time frame and if not possible clearly sign positing alternative contacts who can guide.Building a community across Media Agency.Contribute to a positive and inclusive atmosphere within the team. Knowledge Sharing and Empowerment Commitment to fostering a learning culture within the team and ensuring knowledge transfer across all levels.Support and mentor C3s and C4s engineers by providing them opportunities to lead initiatives and contribute to the technical roadmap.TPBN1_UKTJ

Data Scientist:We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products.Key ResponsibilitiesDesign, develop, and optimize machine learning and deep learning models.Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.Perform data cleaning, feature engineering, and exploratory data analysis (EDA).Build and manage data pipelines and model training workflows.Deploy models into production and monitor performance.Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.Conduct model evaluation, A/B testing, and performance tuning.Document models, experiments, and technical processes.Required Skills & QualificationsClassic Machine learning (Regression, predictive Analysis, Classification, Clustering)Machine learning Model OptimisationStrong proficiency in Python (NumPy, Pandas, Scikit-learn).Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.Experience in Natural Language Processing (NLP) and/or Computer Vision.Strong knowledge of Machine Learning algorithms and statistics.Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.Preferred SkillsExperience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).Cloud experience (AWS, Azure, or GCP).Experience building AI APIs and microservices.EducationBachelors or Masters degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)Soft SkillsStrong problem-solving and analytical thinkingExcellent communication and storytelling skillsAbility to work in fast-paced, cross-functional teams

Senior Data Scientist

Senior Data Scientist - Customer Data Salary: £70,000 - £85,000 (DoE) Location: Hybrid - 2/3 days per week in a Central London office Job Reference: J13015Full UK working rights required - no sponsorship available Immediate requirement - strong leadership and senior stakeholder skillsWe are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is a senior, highly autonomous position, acting as the number two to the Director of Customer Data, where you will operate at a strategic level while remaining hands-on.This is an excellent opportunity for a senior-level data scientist who wants real ownership, influence, and visibility, and to be part of a business at a transformative point in its data maturity.The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. You will be instrumental in helping define best practice, drive advanced analytics use cases, and influence how customer data is activated across products, CRM, and marketing.While experience with personalisation and recommender systems would be highly desirable, it is not essential. The role is broader in scope and suited to someone who enjoys owning complex customer data problems end-to-end and shaping the direction of advanced data science initiatives. ________________________________________The Role Act as a senior technical and strategic lead within the Customer Data team, working closely with (and deputising for) the Director. Take full ownership of your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact. Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight. Contribute to the evolution and activation of the newly implemented CDP, helping the organisation realise its full value. Own the full machine learning lifecycle - from problem definition and model design through to deployment, monitoring, and optimisation. Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals. Partner with data engineering and platform teams to ensure scalable, robust, and production-ready solutions. Act as a senior stakeholder, able to clearly communicate complex concepts and influence decision-making at all levels. _______________________________________Skills & Experience Strong, hands-on experience in machine learning and applied data science within customer or commercial domains. Experience with recommender systems, personalisation, or deep learning is desirable but not essential. Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. Good understanding of MLOps practices, including deployment, monitoring, and retraining pipelines. Proven ability to work cross-functionally with marketing, CRM, product, and engineering teams. Excellent communication, leadership, and stakeholder management skills. Experience operating in a global or multi-regional environment is a plus. ________________________________________If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes. For each relevant candidate you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in analytics and host of the critically acclaimed Women in Data event. For more information, visit www.datatech.org.uk.

Machine Learning Engineer

Build and optimise Machine Learning pipelines

Develop LLM-powered solutions and apply responsible AI practices

Transition experiments into production-ready solutions

Implement experiment tracking and monitoring

Collaborate with data scientists and engineers

What We’re Looking For:

Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow)

Hands-on experience with AWS ML services (SageMaker, Lambda)

Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS)

Knowledge of LLMOps and GenAI tools (LangChain, LangSmith)

Understanding of feature engineering and vector databases

Strong grasp of CI/CD practices for ML deployment

Why Join Us:

Work with niche datasets and cutting-edge tech

Hybrid working and flexible benefits

£7k tax-free DV bonus once clearance completes

Apply today and make a real-world impact.Reference: AMC/JWH/MLEL1#jawh

Senior Data Scientist

Senior Data Scientist - Customer Data Salary: £70,000 - £85,000 (DoE) Location: Hybrid - 2/3 days per week in a Central London office Job Reference: J13015 Full UK working rights required - no sponsorship available Immediate requirement - strong leadership and senior stakeholder skills We are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is a senior, highly autonomous position, acting as the number two to the Director of Customer Data, where you will operate at a strategic level while remaining hands-on. This is an excellent opportunity for a senior-level data scientist who wants real ownership, influence, and visibility, and to be part of a business at a transformative point in its data maturity. The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. You will be instrumental in helping define best practice, drive advanced analytics use cases, and influence how customer data is activated across products, CRM, and marketing. While experience with personalisation and recommender systems would be highly desirable, it is not essential. The role is broader in scope and suited to someone who enjoys owning complex customer data problems end-to-end and shaping the direction of advanced data science initiatives. ________________________________________ The Role • Act as a senior technical and strategic lead within the Customer Data team, working closely with (and deputising for) the Director. • Take full ownership of your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact. • Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight. • Contribute to the evolution and activation of the newly implemented CDP, helping the organisation realise its full value. • Own the full machine learning lifecycle - from problem definition and model design through to deployment, monitoring, and optimisation. • Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals. • Partner with data engineering and platform teams to ensure scalable, robust, and production-ready solutions. • Act as a senior stakeholder, able to clearly communicate complex concepts and influence decision-making at all levels. _______________________________________ Skills & Experience • Strong, hands-on experience in machine learning and applied data science within customer or commercial domains. • Experience with recommender systems, personalisation, or deep learning is desirable but not essential. • Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. • Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. • Good understanding of MLOps practices, including deployment, monitoring, and retraining pipelines. • Proven ability to work cross-functionally with marketing, CRM, product, and engineering teams. • Excellent communication, leadership, and stakeholder management skills. • Experience operating in a global or multi-regional environment is a plus. ________________________________________ If you would like to hear more, please do get in touch. Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes. For each relevant candidate you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK’s leading recruitment agencies in analytics and host of the critically acclaimed Women in Data event. For more information, visit (url removed)

Spatial AI & ML Data Scientist (ArcGIS, Python)

10 Months (part-time)Remote£400 to £500 a day (Outside IR35)Currently looking for a Data Scientist to Design, build, and validate AI/ML models for geospatial products: Essential Skills

5+ years in AI/ML model development and predictive analytics

Strong spatial data science and GIS skills (QGIS, ArcGIS, Python GIS stack)

Proficient in PyTorch, YOLO, AWS/Azure

Experience with UK socio-environmental datasets (IMD, ONS, land use)

Ability to integrate models into offline/on-prem environments

Excellent communication and stakeholder management skills

Desirable Skills

Environmental risk modelling or urban analytics experience

Knowledge of geostatistics and spatial interpolation

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

Senior Data Scientist

Lead data science projects from scoping to deployment

Apply ML and statistical methods across varied data types

Collaborate with ML engineers to productionise models

Communicate insights to technical and non-technical stakeholders

Mentor junior team members

Skillset:

Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy)

Experience with AWS cloud services (SageMaker, Lambda, S3)

Familiarity with MLOps tools (MLflow, Weights & Biases)

Knowledge of NLP, computer vision, or time-series analysis

Ability to design experiments and apply statistical validation

Understanding of Responsible AI principles and model explainability

Ready to take your data science expertise to the next level and make a real-world difference? Apply today.Reference: AMC/JWH/DSLB1#jawh

AI Engineer required for an exciting permanent opportunity working alongside an established SaaS business developing innovative AI-powered platforms servicing the property industry. As an AI Engineer you will develop, advance and maintain cutting edge AI capabilities across the clients products. You will also be involved in architecting scalable AI systems and collaborate closely with cross-functional stakeholders to translate business objectives into AI-driven solutions. As part of a small AI/ ML dedicated team (sitting in the tech & product function), you will have a significant contribution to the design, development, and implementation of advanced AI/ML models, frameworks, and systems. A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch • Experience deploying and maintaining scalable production-grade AI systems • Strong understanding of data pipelines, MLOps and cloud platforms (AWS) • Experience working in small or mid-sized tech/ software development environments (rather than in corporate environments) would be advantageous The role requires demonstrable ability to make impactful suggestions, propose and present ideas and engage at all levels within an organisation. The business operates on flexible working model – ideally 1 day per month onsite however would consider fully remote (UK based) for the right individual. If the role seems to match your skill set and experience, please apply for immediate consideration

Senior Data Scientist

£50,000-65,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent A leading UK digital, cyber and intelligence organisation is hiring a Senior Data Scientist to work on high-impact AI projects within the national security domain. This role is ideal for someone who enjoys applied AI, complex data, and delivering real-world solutions. The Role Lead and deliver AI/ML solutions across text, imagery, audio, video and geospatial data Work closely with ML engineers, project managers and government customers Scope AI use cases, contribute to bids, and present findings to technical and non-technical audiences Mentor junior data scientists and help shape AI best practice Requirements Strong experience in AI, machine learning and statistics Python expertise (e.g. pandas, NumPy, scikit-learn, PyTorch, transformers) Experience deploying models and working with cloud platforms (AWS preferred) Ability to communicate complex technical concepts clearly Desirable AWS services (SageMaker, ECS, Lambda, S3, Bedrock) MLOps / ML engineering experience (Docker, MLflow) Experience in government or regulated environments Practical experience applying LLMs Security Clearance UKIC DV eligible required £7,000 tax-free DV bonus on completion (TBC, paid quarterly) Location London-based hybrid role Up to 3 days per week onsite at customer location once cleared 1 day per week team day in the London office (counts as onsite) Benefits Flexible working and strong work-life balance 25 days’ holiday plus buy/sell options Pension, bonus scheme and flexible benefits Structured career development support Apply directly or message for more information on this Senior Data Scientist role. Reference: AMC/AQI/SDS Postcode: EC3 #aoqu TPBN1_UKTJ

Senior Data Scientist

This is an exciting time to join a team to help pioneer both customer’s and own an AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, youll be doing it for an organisation who makes a huge impact to the security of the UK.Core dutiesBeing a key technical point-of-contact for AI and data science expertise, sharing knowledge across meetings, bids and technical projects.Leading and working on technical AI projects, working with ML engineers, project managers and non-technical customers.Meeting with users to help scope out ongoing and future AI projects, understanding use-cases and planning out delivery plans which capture the subtleties of the requirements.Working alongside ML engineers to help build and deploy models into products across our AWS cloud servicesAssisting with writing bid responses to customer problems, often requiring diving into the literature surrounding complex technical concepts in AI, ML and statistics.Presenting results of technical work both internally and to our customers.Helping mentor and manage junior team members and graduates across the business.Helping to educate others across the business in AI and related methods through collaborative work (including software engineers, leadership, non-technical consultants) and presenting to wider communities via blogs, events and conferences.About YouBSc (or MSc / PhD) in a quantitative, scientific discipline (e.g. maths, physics, computer science or similar).Expert knowledge of AI, ML and statistical methods, and their application across some of the following domains (e.g. NLP, images, audio, graphs, time series, tabular data).Several years experience working as a data scientist in industry or similar environment.Good knowledge of python, along with common machine learning and data analysis libraries (e.g. pandas, numpy, scikit-learn, pytorch, transformers, statsmodels, pymc).Ability to absorb complex new scientific concepts and quickly get up to speed on new areas of the literature.Good understanding of software and ML engineering best-practices (e.g. git, package development, model deployment).Ability to present complex technical concepts to both technical and non-technical colleagues.Passion for good quality scientific work and a focus on truthfulness, robustness and customer/stakeholder requirements.Experience with utilising cloud services (e.g. AWS) for training and deploying models.Understanding of the ethical, privacy, security and policy concerns relevant to the application of AI/ML.It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help You With ThemGood knowledge of AWS cloud services (e.g. Lambda, ECS, Bedrock, S3, Sagemaker)ML Engineering and MLOps knowledge (e.g. Docker, ML flow)Experience working with government or other carefully regulated industriesTrack record of applying LLMs to robustly solve real problemsSecurity Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process.How We Will Support YouWork-life balance is important; you can work around core hours with flexible and part-time workingYoull get 25 days holiday a year and the option to buy/sell and carry over from the year beforeOur flexible benefits package includes a competitive pension scheme, cycle to work scheme, taste cards and moreYoull have a dedicated Career Manager to help you develop your career and guide you on your journey through BAEYoull be part of our company bonus schemeYou are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing.

Python Software Engineer

Python Software Engineer with strong container orchestration and a passion for machine learning is sought by a high growth scale up based near Cheltenham. Working at the forefront of defence and national security innovation this Python Software Engineer will work within a collaborative engineering function to build bleeding edge AI/ ML enabled software solutions that keep millions of people safe. This role would suit software engineers with experience working in an R&D/ innovation focussed environment who are looking for more end to end project exposure and fast track progression opportunity This Python Software Engineer based near Cheltenham should have most of the following key skills:

Solid Python engineering skills

Containerisation (docker, Kubernetes)

Solid general Machine learning skills - PyTorch,Tensorflow etc

NoSQL database experience

Experience working in R&D or innovation focused engineering teams would be a plus

Front end skills would be useful - Angular, React etc

An active SC clearance would be a plus but not essential This Python Software Engineer will receive

Starting salary of up to £75,000

Hybrid working (2 days a week in the office)

Extensive personal development scheme

25 days holiday

10% private pension scheme

Bonus

Private healthcare

Truly autonomous, collaborative culture with extensive growth potential

Regular remuneration reviews So if you are a Python Software Engineer who wants to join a market leading business with innovation at its core please apply now to be considered Cheltenham Research & development, generative AI, machine learning, LLM, Python, NoSQL, PyTorch, Tensorflow, Docker, Kubernetes

Machine Learning Engineer Consultant

Electus Recruitment Solutions

Location: Cambridge, England, United Kingdom Contract: Permanent Salary: Competitive + Excellent Benefits Job Description: Electus Recruitment is seeking a Machine Learning Engineer Consultant to join a dynamic SME that is part of a larger group of companies poised for significant growth. As a Machine Learning Engineer Consultant, you will contribute to innovative projects that protect the UK from emerging threats. Key Responsibilities: Conduct in-depth research into state-of-the-art machine learning techniques and related emerging technologies. Design, develop and implement machine learning models for a variety of tasks, from proof-of-concept to working prototypes. Understand the underlying algorithms, mathematical concepts and workings of machine learning techniques. Collaborate with a multi-disciplinary team of experts to solve complex challenges. Communicate solutions to technical and non-technical stakeholders. Requirements: Strong technical skills and proven track record in machine learning research, with a focus on deep learning techniques and neural network architectures. Experience with machine learning libraries and frameworks such as PyTorch, TensorFlow and Keras; data manipulation libraries such as Pandas and NumPy; and MLOPs tools such as Docker. Experience with emerging machine learning technologies such as RL, XAI and Generative AI including LLMs. Strong coding proficiency in Python. An enquiring mind and a passion for problem-solving. Post-Graduate Degree and research experience or a PhD in a relevant field such as Physics, Mathematics, Computer Science or Engineering. Ability to obtain and maintain UK security clearance. This is an on-site role. A flexible working policy exists however the applicant is expected to be on-site for the majority of the time. “Due to the nature of work undertaken by our client, incumbents of these positions are required to undergo pre-employment screening and must be able to satisfy clearance criteria for UK Security Vetting” Benefits: Competitive salary and benefits package. Opportunity to work on challenging and rewarding projects. Collaborative and supportive work environment. Access to state-of-the-art facilities and resources. Opportunities for professional development and growth. Generous pension scheme. Private medical insurance. Employee assistance program. Company-sponsored social events. Comprehensive relocation package available, if applicable. Join a company that is committed to growth and innovation. They are a dynamic SME with ambitious plans to double their size over the next five years. As part of our client’s team, you can contribute to their success and be part of something truly exciting. To apply please send us your CV highlighting your relevant experience

Senior Data Scientist

£50,000 to 60,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Data Scientist - London / Hybrid Up to £65,000 + DV Bonus | SC Eligible / DV Eligble Required | No Sponsorship We are looking for a Senior Data Scientist to join a leading organisation delivering cutting-edge AI and machine learning solutions with real-world impact. You will work on diverse projects across national security and healthcare-related sectors, applying AI/ML techniques to solve complex challenges. This is a London-based role with hybrid working support. Key Responsibilities: Lead and contribute to AI and ML projects, working closely with engineers, project managers, and non-technical stakeholders. Act as a technical point of contact, sharing expertise in AI/ML methods across projects and bids. Scope, plan, and deliver AI solutions, including model development, deployment, and evaluation. Mentor junior team members and support their professional growth. Present results and insights to both technical and non-technical audiences. Contribute to internal knowledge-sharing and best practices in AI/ML. Requirements: BSc, MSc, or PhD in a quantitative, scientific, or technical discipline (e.g., computer science, mathematics, physics). Strong expertise in AI, ML, and statistical methods, with experience across domains such as NLP, images, audio, graphs, time series, and tabular data. Several years’ experience as a data scientist in industry or related environments. Proficiency in Python and common ML/data libraries (e.g., pandas, numpy, scikit-learn, PyTorch, transformers). Understanding of software and ML engineering best practices (git, package development, model deployment). Experience with cloud platforms, particularly AWS, for training and deploying models. Ability to communicate complex technical concepts to diverse audiences. Eligible for DV security clearance; sponsorship cannot be provided. Desirable: Knowledge of AWS services (e.g., Lambda, ECS, Bedrock, S3, SageMaker). Experience with ML engineering and MLOps (e.g., Docker, MLflow). Experience in regulated industries or government-related projects. Applying LLMs or advanced AI methods to real-world problems. Benefits: Competitive salary up to £65,000 plus DV clearance bonus. Hybrid working with flexibility around core hours. 25 days holiday plus buy/sell/carry over options. Pension scheme and other flexible benefits. Opportunity to work on high-impact AI/ML projects. Reference: AMC-AQU-SDSB Postcode: EC2V 6AA #adqu TPBN1_UKTJ

Software Engineer

Electus Recruitment Solutions

Software Engineer – Python/C++ | R&D Applications Join a high-priority, multidisciplinary R&D team where your expertise in Python, C++, GUI development, and real-time data processing will directly contribute to the development of cutting-edge sensing and intelligent systems. You’ll play a key role in creating prototype and customer-focused applications that support advanced technology demonstrations and trials. Work in a collaborative and innovative environment based in North Somerset, where rapid development and experimentation are encouraged. This role involves working within multidisciplinary project teams, developing user and application software that will integrate with physical hardware systems and prototype technologies, designed for a well-defined user base. About the Role We are seeking a Software Engineer to support the development of R&D software applications. You’ll be involved in designing and implementing software for prototype systems, integrating AI models, and working closely with hardware teams to deliver complete solutions. About You – Key Skills & Experience Strong proficiency in Python and C++ Experience with PyTorch or similar machine learning frameworks Knowledge of real-time data processing and multithreaded applications Comfortable working in Linux (Ubuntu, Raspbian, Yocto) and Windows Familiar with DevOps tools (e.g., GitHub) and backlog management Able to use AI tools to support code development Excellent documentation and communication skills Must be a UK national, eligible for security clearance Beneficial: Skilled in GUI development (e.g., PyQt, Tkinter) and webUI frameworksOverview Job Title: Software Engineer – Python/C++ Main Skill: R&D Applications Development Location: North Somerset Salary: Competitive, dependent on qualifications and experienceKey Skills Python, C++, PyTorch, GUI Design, Real-Time Processing, Linux, DevOps, AI-Assisted Development Why Apply? This is a unique opportunity to work on high-impact R&D projects, contribute to advanced technology demonstrations, and collaborate with experts across disciplines in a supportive and forward-thinking environment. Security Clearance Due to the nature of work undertaken, candidates must undergo pre-employment screening and be able to satisfy UK Security Vetting criteria to SC Level. Recruitment Statement Electus Recruitment Solutions provides specialist engineering and technical recruitment solutions to several high technology industries. We thank you for your interest in this vacancy. If you don’t hear from us within 7 working days, please presume your application has been unsuccessful on this occasion. You are of course free to resubmit your CV/details in the future and we shall assess your suitability at that time

Software Development Engineer

ECM Selection (Holdings) Limited

Develop prototype and production software for defence applicationsNr Cambridge, to £55,000 DoE + BenefitsThis growing tech start-up is part of the expanding defence sector. They are developing an AI based platform that integrates with associate hardware products that they are also building. The work is fast-paced and projects are varied from early-stage prototypes to production code. They are looking to recruit a Software Development Engineer and will consider a recently graduated engineer (must be immediately available) or someone with relevant years of industry experience.As part of the company s software team, you would work on projects that integrate software with hardware which can include control hardware platforms, sensors and custom devices. Sensors may be for tracking or optics, and hardware could be for control of complex devices / instrumentation.Requirements:

Strong academic background in computer science, physics, electronics or similar. Ideally a Master s or PhD. Will be able to demonstrate project experience working on software development for hardware (ideally sensors or control systems).

Extensive experience in software engineering using Python.

Experience with Machine Learning and algorithms would be a bonus. Any exposure to TensorFlow or PyTorch would be desirable.

Aptitude to pick up new technologies demonstrated through projects using other technologies, frameworks and tools.

Experience with embedded systems or computer network systems would be advantageous.

Applicants must be eligible for security clearance including being a UK resident for the past 5 years. Candidates on work visas will not be considered.As projects relate to defence applications, all work is onsite. Their offices are just outside of Cambridge (south). No hybrid work options are available. On offer is the opportunity to work on varied projects and be compensated with a competitive salary that reflects your experience level.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 ecm or email your CV. We will always ask before forwarding your CV.Please apply (quoting ref: CV27554) 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.

Senior Data Scientist

£45,000 - £65,000 GBP £7,000 DV Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Role: Senior Data Scientist Area : National Security Projects Location: London (Hybrid) - 3 days per week Security : Eligibility for Developed Vetting Clearance with the UK Government Salary: Up to £65k + £7k annual DV bonus (once obtained) About the Role: This is a unique opportunity to apply advanced data science in the national security domain. You’ll work with highly sensitive, complex dataset s that you won’t find anywhere else, solving problems that have a direct impact on UK security. Expect variety: one day you’ll be scoping new AI projects with stakeholders, the next you’ll be building models for text, image, or geospatial data, and later presenting findings to senior decision-makers. You’ll influence strategy, mentor junior colleagues, and help shape how AI is adopted across critical missions. If you want to combine technical depth with meaningful impact, this is the role for you. What You’ll Do: Lead data science projects from scoping to deployment Apply ML and statistical methods across varied data types Collaborate with ML engineers to productionise models Communicate insights to technical and non-technical stakeholders Mentor junior team members Skillset: Strong Python and ML libraries (scikit-learn, PyTorch, pandas, NumPy) Experience with AWS cloud services (SageMaker, Lambda, S3) Familiarity with MLOps tools (MLflow, Weights & Biases) Knowledge of NLP, computer vision, or time-series analysis Ability to design experiments and apply statistical validation Understanding of Responsible AI principles and model explainability Ready to take your data science expertise to the next level and make a real-world difference? Apply today. Reference: AMC/JWH/DSLB1 #jawh TPBN1_UKTJ

Machine Learning Engineer

£45,000 - £65,000 GBP £7,000 DV Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Title: Machine Learning Engineer Area : National Security Projects Location: London (Hybrid) - 3 days per week Security : Eligibility for Developed Vetting Clearance with the UK Government Salary: Up to £65k + £7k annual DV bonus (once obtained) About the Role: We’re seeking Machine Learning Engineers to design and deploy ML models for national security applications. You’ll work on GenAI, LLMOps, and traditional ML solutions using AWS infrastructure, unique datasets collaborating with data scientists and software engineers to build greenfield solutions. What You’ll Do: Build and optimise Machine Learning pipelines Develop LLM-powered solutions and apply responsible AI practices Transition experiments into production-ready solutions Implement experiment tracking and monitoring Collaborate with data scientists and engineers What We’re Looking For: Proficiency in Python and ML frameworks (scikit-learn, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda) Familiarity with containerisation (Docker) and orchestration (Kubernetes/ECS) Knowledge of LLMOps and GenAI tools (LangChain, LangSmith) Understanding of feature engineering and vector databases Strong grasp of CI/CD practices for ML deployment Why Join Us: Work with niche datasets and cutting-edge tech Hybrid working and flexible benefits £7k tax-free DV bonus once clearance completes Apply today and make a real-world impact. Reference: AMC/JWH/MLEL1 #jawh TPBN1_UKTJ

AI Engineer - Contract

AI Engineer – Contract (x2) Rate: £700 per day Contract Length: 3–6 months Location: Flexible / Hybrid (depending on candidate) Morela is supporting an exciting AI startup in the search for two highly skilled AI Engineers with strong Python expertise to support the delivery of a key AI project. These are hands-on contract roles suited to engineers who enjoy building, optimising, and deploying AI solutions in a fast-moving environment. You’ll work closely with product, data, and engineering teams to design and implement machine learning models, contribute to production-ready pipelines, and help scale AI capabilities across the business. Key Responsibilities: Design, build, and deploy machine learning models using Python Develop and optimise data pipelines and model training workflows Collaborate with cross-functional teams to translate requirements into technical solutions Support model evaluation, performance tuning, and monitoring in production Contribute to best practices around code quality, testing, and scalability Required Experience: Proven experience as an AI Engineer or Machine Learning Engineer Advanced Python skills with experience in ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Strong understanding of machine learning algorithms and applied AI Experience deploying models into production environments Comfortable working in startup or fast-paced delivery environments This is a strong opportunity to join a growing AI startup at a key delivery phase, working on impactful projects and building production-grade AI solutions. If you’re interested or would like more details, please email me at (url removed)

Data Scientist/AI Engineer

Job Title: AI Engineer/Data Scientist Location: Sheffield or Birmingham - 3 days per week in the office - only candidates within commutable distance will be considered by the client Salary/Rate: £500 per day inside IR35 Start Date: 29/01/2026 Job Type: Contract - 6 monthsCompany Introduction We have an exciting opportunity now available with one of our sector-leading financial services clients! They are currently looking for a skilled AI Engineer/Data Scientist to join their team for an initial 6-month contract.Job Responsibilities/Objectives The Onboarding and Know Your Customer Value Stream incorporates onboarding products, platforms, and a delivery capability particularly suited to client-aligned agile delivery at pace. They are investing heavily across these domains with a strategic focus on increasing adoption of AI capabilities through our flagship AI journeys, day-to-day engineering and overall ways of working. To accelerate achieving our vision, we are seeking an experienced AI Engineer to join the Client Services and OBKYC Technology group.

Building production-ready models to drive content extraction and classification from images and text-based sources.

Working closely with business teams to understand requirements and iteratively design and develop solutions.

Collaborative with product managers, technical teams.

Create, test and iterate new and existing products and features.

Designing and building Python/ML/OCR-based components.

Not only supporting the development of the product, but also the full life cycle including the deployment, testing and production support of the application.

Required Skills/Experience The ideal candidate will have the following:

Strong experience in Document AI/Intelligent document processing using traditional models and Generative AI - particularly in using open source models for achieving business outcomes.

Experience delivering to production in Python, with a focus on machine learning, deep learning, natural language processing, generative AI, image processing and OCR all additional positives.

Experience with some of the following frameworks - TensorFlow, Pytorch, Hugging face, Spacy, OpenCV, Regex or equivalents.

Experience delivering safe code to production, focusing on cybersecurity and resilience of the application and APIs.

Desirable Skills/Experience Although not essential, the following skills are desired by the client:

Experience using PostgreSQL for data storage and management.

Proficiency with Azure core services like Azure Virtual Machines and experience with one or all of Azure CLI, Azure Kubernetes Service (AKS) and Azure DevOps

Experience delivering in teams releasing at a high cadence to production.

Machine Learning Engineer

£65,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent An opportunity is available for an experienced Senior Machine Learning Engineer to design, build and operationalise advanced machine learning solutions that directly support UK national security objectives. This role sits within a multidisciplinary AI engineering environment, working closely with Data Scientists, Software Engineers, Product teams and government stakeholders. The Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. The Role The successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative AI approaches while ensuring successful models integrate seamlessly into live operational systems. This is a high-impact role at a pivotal point in the adoption of AI, machine learning and large language models across critical national systems, offering the chance to deliver real-world outcomes at scale. Key Responsibilities Designing, developing and optimising machine learning models across traditional ML use cases (forecasting, classification, anomaly detection) and GenAI / LLM solutions Leading experimentation cycles, including hypothesis definition, experimental design, evaluation and iteration, while complying with governance standards Transitioning validated experiments into production-ready ML services, collaborating closely with engineering teams on deployment and monitoring Building scalable ML pipelines using AWS services and modern experiment tracking frameworks Developing and integrating LLM-powered capabilities for evaluation, tracing and production monitoring Implementing robust experiment tracking, model versioning and reproducibility, ensuring full auditability Designing feature engineering strategies and contributing to feature store development Monitoring live models, analysing performance and driving continuous improvement Applying responsible AI principles, including explainability, robustness and fairness Communicating experimental results and production outcomes to stakeholders, highlighting operational and strategic value Mentoring junior engineers and promoting best practices across the team About the Candidate The ideal candidate will bring strong hands-on experience in machine learning engineering, with the ability to translate experimental success into reliable, scalable systems. Essential experience includes: Commercial experience developing and deploying machine learning models in Python Proficiency with ML frameworks such as scikit-learn, XGBoost, PyTorch or TensorFlow Strong experience delivering ML solutions using AWS services (e.g. SageMaker, Lambda, S3) Expertise in experiment design, including hypothesis formulation, A/B testing and statistical evaluation Proven experience moving models from experimentation into production with appropriate governance and quality controls Hands-on experience with MLOps tooling such as MLflow, Weights & Biases or Data Version Control Practical experience building LLM / GenAI applications, including prompt engineering and retrieval-augmented generation (RAG) Familiarity with LLMOps frameworks such as LangChain, LangSmith or LangGraph Understanding of model validation, evaluation techniques and production monitoring Experience working in cross-functional teams from problem definition through to delivery Strong communication skills, with the ability to explain complex concepts to non-technical audiences Sound judgement in applying AI appropriately and recognising when non-AI approaches are more suitable Desirable Experience Advanced LLM techniques, including agents, tool use and agentic workflows Experience with vector databases (e.g. Pinecone, Weaviate, pgvector) Feature store technologies such as Feast or AWS Feature Store Containerisation and orchestration using Docker, Kubernetes or ECS Infrastructure as Code using Terraform or CloudFormation Large-scale data processing frameworks such as Spark or Dask Knowledge of data governance, compliance and regulated environments Experience delivering solutions within highly regulated industries such as government, finance or healthcare Security Clearance This role requires UK Security Clearance. Applicants must already hold clearance or be eligible and willing to undergo the vetting process. Reference: AMC/RHU/MLE #ryhu TPBN1_UKTJ

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