A fantastic opportunity for a Senior or Principal Machine Learning Engineer to join a fast-growing, health-tech company developing advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale, production-grade ML systems applied to complex 3D imaging data.

This role is highly engineering-focused, sitting between machine learning, infrastructure and deployment. You will work closely with ML Scientists and engineering teams to ensure models can be trained and deployed reliably at scale.

Location: 1 day per week in London - Shepherd’s Bush (4 days remote)

Salary: £70,000 – £90,000 per annum, with flexibility for the right candidate, plus benefits

Requirements for Senior / Principal Machine Learning Engineer:

Strong relevant industry experience in machine learning engineering

Strong Python and PyTorch experience

Experience training machine learning models at scale

Experience building and maintaining model deployment and inference pipelines

Hands-on experience using Docker in production environments

Strong Linux and Git skills

Experience working in cloud environments (AWS, GCP or Azure all acceptable)

Experience working with CI pipelines

Proactive, self-sufficient and highly communicative working style

Strong English written and verbal communication skills

Educated to a minimum of Masters Level

Responsibilities:

Develop, train and deploy machine learning models into scalable production environments

Support and improve large-scale model training and inference pipelines

Collaborate closely with ML Scientists to productionise research models

Work with engineering teams to ensure robust, secure and efficient deployment

Contribute to code quality, documentation and best practices across the ML engineering function

What the role offers:

Work on impactful health-tech

Exposure to large-scale, real-world machine learning systems

A technically strong and collaborative engineering environment

Hybrid working with a remote-first approach

Clear cut career trajectory to becoming Head of Machine Learning

Applications:

If you would like to apply for this unique Machine Learning Engineering role, please send your CV via the relevant links.

We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application or during the review process, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are readily available on our website.

Keywords: Senior Machine Learning Engineer / Principal Machine Learning Engineer / ML Engineer / Applied Machine Learning Engineer / Computer Vision Engineer / AI Engineer / Research Engineer / Python / PyTorch / Linux / Docker / Cloud ML / CI Pipelines / Model Deployment / Inference Pipelines

RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities.
We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

Machine Learning Engineer (PyTorch LLM) London onsite to £110k

Do you have expertise with Machine Learning in production?

You could be progressing your career at a London based tech start-up with £5 million in recent pre-seed funding, in an impactful role that you’ll shape. The product is an AI agentic based platform that writes production grade code.

What’s in it for you:

Salary to £110k

Equity / stack options

30 days holiday (+ Bank Holidays)

Daily lunch, monthly breakfasts

Dog friendly office

Pension

Monthly socials

Impactful role that you can shape and influence

Your role:

As a Machine Learning Engineer you’ll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised fine tuning and large scale reinforcement learning. This isn’t prompt engineering. You’ll design and run serious training experiments across multi-node GPU clusters, build RL loops where models write code and get rewarded (or penalised) by real test outcomes and push long-context and MoE style architectures to their limits.

You’ll work hands-on across the full stack: custom PyTorch dataloaders, distributed training (DDP/FSDP), experiment tracking, debugging NCCL issues at 2am, and squeezing performance out of multi-GPU jobs. You’ll help design opinionated reward functions that reflect what great engineering actually looks like, not just benchmark scores.

You’ll extend benchmark suites, test models on real world repositories, analyse failure modes and feed insights back into data and training strategy. Collaborating with infrastructure, product and research teams you’ll contribute to decisions about what to train next and how to measure results.

Location / WFH:

You’ll be based in the London, dog friendly office on a fulltime basis, with daily catered lunch, working hours 0900-1700 (with no expectation to do more).

About you:

You have strong experience with training deep learning models in production

You have an indepth knowledge of PyTorch including hands-on experience with torch.distributed (DDP/FSDP-style training, distributed data loading, gradient scaling, etc.)

You have experience of training large sequence models or LLMs at scale

You have a software engineering background with Python, also familiar with TypeScript and / or Golang

You have distributed systems / training ops experience including practical experience running multi-node jobs on GPU clusters (Slurm, Kubernetes, or managed cloud equivalents) and are familiar with GPU performance tuning: memory usage, mixed precision, throughput vs. latency tradeoffs

You have experience within a reinforcement learning environment

You’re collaborative with great communication skills

You are degree educated to BSc / MSc in a relevant discipline

Apply now or call to find out more about this Machine Learning Engineer opportunity.

TPBN1_UKTJ

Job Title: AI Engineer / Machine Learning Engineer Location: UK (Hybrid/Flexible) Salary: £80,000£120,000 Experience: 38 Years A fast-growing technology consultancy is looking for a talented AI Engineer / Machine Learning Engineer to join their expanding AI practice. This is a high-impact role working on real client projects across generative AI, machine learning and cloud-based solutions. Key Responsibilities: Design, build and deploy machine learning and AI solutions for enterprise clients Develop models using Python, PyTorch and modern ML frameworks Work with large datasets to train, evaluate and optimise models Implement and scale solutions on AWS (SageMaker, Bedrock, Lambda, etc.) Contribute to generative AI initiatives using Hugging Face and open-source models Collaborate with data engineers, architects and stakeholders to deliver production systems Required Skills & Experience: 38 years experience in AI, Machine Learning or Data Science roles Strong Python programming skills Hands-on experience with PyTorch Experience with Hugging Face transformers or similar frameworks Solid experience deploying ML solutions on AWS Understanding of MLOps, model deployment and performance optimisation Ability to work in a consultancy environment with multiple clients Desirable: Experience with LLMs, RAG pipelines or generative AI applications Knowledge of Docker, Kubernetes or CI/CD for ML Exposure to other cloud platforms (Azure/GCP) Whats on Offer: £80,000£120,000 base salary Work on cutting-edge AI and generative AI projects Rapid career progression within a growing consultancy Collaborative, innovation-focused culture Flexible/hybrid working If youre looking to build advanced AI solutions and want to be part of a consultancy scaling its AI capability, apply now with your CV. TPBN1\_UKTJ

Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading. Salary: £44,241 per annum Vacancy Type: Permanent Closing date: Tuesday 31st March 2026 Do you thrive on curiosity, innovation and adaptability? Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision? Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm? Are you committed to using data ethically and responsibly? If this sounds like you, your next career move could be right here! As a Senior Data Scientist, you'll play a pivotal role in shaping analytical models that guide DVSA's future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You'll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools. Joining our department comes with many benefits, including: \* Employer pension contribution of 28.97% of your salary. \* 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King's birthday \* Flexible working options where we encourage a great work-life balance. Job description Your responsibilities will include, but aren't limited to: \* Conceptualising and developing high-impact data science solutions. \* Writing and reviewing code using best practices from software development. \* Further developing and maintaining existing risk and demand models. \* Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python. \* Identify trends and patterns, turning them into actionable insights that support the development and improvement of services. \* Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff. \* Explore and visualise data to uncover valuable insights \* Offer recommendations that solve complex problems and empower strategic and operational decision making \* Uphold the highest standards of ethical and appropriate data use Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most. We're looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you'll help shape and validate groundbreaking Innovation use cases. Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public. For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process. Person specification Required Experience: \* Developing and deploying AI and data science solutions to tackle business challenges at pace. \* Inferring, predicting or forecasting using appropriate machine learning techniques. \* Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation. \* Quantitatively evaluating data science and AI solutions using novel designs and data sets. \* Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP). \* Continually promoting professional development and sharing best practices. \* Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff. \* Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc). \* Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills) \* Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM). \* A high level of competence in applied maths, statistics and scientific methods. \* Clear written and verbal communication. \* Ability to work autonomously on data science projects and as part of the team. To Apply If you feel you are a suitable candidate and would like to work for DVSA, please proceed through the following link to be redirected to our website to complete your application. https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SID=dXNlcnNlYXJjaGNvbnRleHQ9MTc3OTA1MzUyJnNlYXJjaHBhZ2U9MSZqb2JsaXN0X3ZpZXdfdmFjPTE5OTAwODkmcGFnZWFjdGlvbj12aWV3dmFjYnlqb2JsaXN0Jm93bmVyPTUwNzAwMDAmc2VhcmNoc29ydD1jbG9zaW5nJm93bmVydHlwZT1mYWlyJnBhZ2VjbGFzcz1Kb2JzJnJlcXNpZz0xNzczMjI5MzU4LWY3YjRhMTZlZGE5MTUwMjRlMGMzNWQzNWI5NmMzMGQ2ZTNkYWY2ZGU=

SENIOR CLOUD ENGINEER / AI ENGINEER

FULLY REMOTE ( UK or EUROPE )

1,200 Euros per Day Rate

SECURE is working with a major AI & Cloud Solutions Partner to build out their European Professional Services Team. We are looking for a highly experienced Senior AI Engineer for an initial 6 Month Contract, starting ASAP. This isn’t a role for someone who just wants to build toy models in a sandbox. Youll be taking ownership of complex, Enterprise - Level AI Transformations getting Hands-On with the Engineering required to move Theoretical Models into robust, Production-Grade ML systems.

Role Overview:

You will be stepping in as the Technical Lead for Large - Scale Enterprise Client s across Europe. You’ll advise stakeholders on complex AI Implementations & Design the Data Pipelines that actually make Generative AI & Deep Learning Frameworks work in the real world.

Note : This is a Europe-Based role. You Must be Fluent in English . Bonus Points for those that speak both English & Spanish to work directly with Local Stakeholders.

Who Should Apply:

The ML Ops Veteran: Excellent Hands-On Experience building Distributed Machine Learning Pipelines & Production ML Systems at an Enterprise Scale.

The Client-Facing Engineer: You’re just as comfortable explaining complex ML Architectures to a Non-Technical executive in Spanish as you are writing Python .

Skills & Experience:

AI & ML Ops: Deep, Hands-On Experience with Vertex AI, ML Ops, AI for Document Processing, Gen AI & ADK.

Coding: Real Proficiency in one or more of these Languages: Python, Perl, C, C++ or Java.

Consulting: Strong Background in Technical Client Service or Consulting. You need to know how to Advise, not just Code.

What Makes You Stand Out ( Preferred Qualifications ) :

5 Years Minimum Experience building Recommendation Engines, Data Pipelines or Distributed Machine Learning

Strong Understanding of what it actually takes to run ML Systems in Production

Hands-On Experience with Deep Learning Frameworks (TensorFlow, PyTorch, XGBoost)

Deep Knowledge of Data Warehousing, ETL / ELT Architectures & Heavy Analytic Environments (Apache Beam, Hadoop, Spark, Hive)

Responsibilities:

Leading Customer-Facing AI Deployments across Europe, from the Initial Consulting Phase right through to the Live Implementation of Production ML Systems

Architecting & Optimising Scalable Data Pipelines, ETL/ELT Solutions & Distributed ML Environments (using Hadoop, Spark & Apache Beam).

Deploying Recommendation Engines & Deep Learning Models (TensorFlow, PyTorch) to solve specific Client Problems.

Running Technical Design Sessions, Tailoring ML Ops Architectures using Vertex AI & Gen AI.

Writing Automation-Focused Code needed to Streamline Document Processing AI and keep the analytic environment highly reliable.

Searches: ML Engineer / AI Engineer / Cloud Engineer / Machine Learning / Cloud AI / Google Cloud / GCP / Vertex AI / MLOps / ML Ops / AIOPs / AI Ops /

TPBN1_UKTJ

Location: Erskine, Scotland (Hybrid 2/3 days per week in the office)
Candidates must be eligible for clearance.

DXC Technology (NYSE: DXC) is a leading independent, end-to-end IT services company, helping organisations harness innovation to thrive through change. Serving nearly 6,000 private and public sector clients across 70 countries, DXC combines technology independence, global talent, and an extensive partner network to deliver next-generation IT services and solutions.

We are proud to be recognised globally for corporate responsibility and inclusive workplace practices.

The Role

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.

What Youll Be Doing

• 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.

Technical Experience

Were looking for experience in many of the following areas:

• 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.

What Were Looking For

• A collaborative mindset and strong communication skills.
• A thoughtful, structured approach to problem solving.
• A commitment to continuous learning and professional growth.
• The confidence to contribute ideas while valuing diverse perspectives.

Why Join Us?

• Work on meaningful AI projects with real-world impact.
• Join a supportive, forward-thinking team that values inclusion and diverse perspectives.
• Access structured learning, mentoring, and career development opportunities.
• Flexible hybrid working arrangements.
• A workplace culture that supports wellbeing and work-life balance.

What We Offer

• Competitive salary.
• Pension scheme.
• DXC Select comprehensive benefits package including private medical insurance, gym membership, and more.
• Perks at Work discounts on technology, groceries, travel and more.
• DXC incentives recognition tools, employee lunches, and regular social events.

Ready to Shape the Future of AI?

We are committed to building diverse teams and creating an inclusive environment where everyone can thrive. If this role excites you, wed love to hear from you.

Apply today and bring your skills, perspective, and ambition to a team that values innovation, collaboration, and growth.

Location: Bristol, Swansea, Leeds, Nottingham, Newcastle, Oldham, Birmingham or Yeading.

Salary: £44,241 per annum

Vacancy Type: Permanent

Closing date: Tuesday 31st March 2026

Do you thrive on curiosity, innovation and adaptability?

Are you genuinely excited about delving into data, whether new or existing, and harnessing the power of advanced statistical tools and techniques such as machine learning, predictive analytics, and computational vision?

Is transforming data into practical insights that drive operational and strategic decisions across DVSA something that fires your enthusiasm?

Are you committed to using data ethically and responsibly?

If this sounds like you, your next career move could be right here!

As a Senior Data Scientist, you ll play a pivotal role in shaping analytical models that guide DVSA s future. For example, you will design, develop and maintain forecasting models in Python that predict service demand, as well as innovative risk models that help us allocate frontline resources more effectively. You ll also champion the ongoing professional growth of our talented data science team, sharing your expertise in the latest techniques and tools.

Joining our department comes with many benefits, including:

• Employer pension contribution of 28.97% of your salary.
• 25 days annual leave, increasing by 1 day each year of service (up to a maximum of 30 days annual leave), plus 8 bank holidays a privilege day for the King s birthday
• Flexible working options where we encourage a great work-life balance.

Job description

Your responsibilities will include, but aren t limited to:

• Conceptualising and developing high-impact data science solutions.
• Writing and reviewing code using best practices from software development.
• Further developing and maintaining existing risk and demand models.
• Apply your ingenuity to analyse diverse data sets with cutting-edge statistical methods, from machine learning to predictive analytics, using Python.
• Identify trends and patterns, turning them into actionable insights that support the development and improvement of services.
• Presenting your findings to a wide range of stakeholders, from senior leaders to operational staff.
• Explore and visualise data to uncover valuable insights
• Offer recommendations that solve complex problems and empower strategic and operational decision making
• Uphold the highest standards of ethical and appropriate data use

Your impact will be felt in the continual refinement of demand forecasting, predictive modelling to track performance against key targets, and the creation of risk models that ensure our resources are used where they matter most.

We re looking to fill two exciting Senior Data Scientist roles: one role sits within our MOT team, focusing on service analytics, risk modelling and fraud detection; the other sits within our brand-new Innovation Team, where you ll help shape and validate groundbreaking Innovation use cases.

Great line management is important to us as an organisation, and we will equip and support line managers to develop the skills they need. We aim to empower line managers to create teams where people can flourish and deliver excellent outcomes for the public.

For further information on the role, please read the attached role profile. Please note that the role profile is for information purposes only - whilst all elements are relevant to the role, they may not all be assessed during the recruitment process. This job advert will detail exactly what will be assessed during the recruitment process.

Person specification

Required Experience:

• Developing and deploying AI and data science solutions to tackle business challenges at pace.
• Inferring, predicting or forecasting using appropriate machine learning techniques.
• Experience of designing and deploying LLM-powered analytics, for example for summarisation, topic modelling, or translation.
• Quantitatively evaluating data science and AI solutions using novel designs and data sets.
• Using cloud computing and infrastructure to develop and deploy solutions (e.g. AWS, Azure, GCP).
• Continually promoting professional development and sharing best practices.
• Presenting and communicating products and findings to a wide range of stakeholders, from senior leaders to operational staff.
• Considering ethics and data protection principles when developing AI and data science solutions (e.g. GDPR, use of ethics frameworks etc).
• Strong programming skills, with experience in Python (or similar experience with a desire to develop Python skills)
• Familiarity with essential data science tools and libraries (e.g. NumPy, Pandas, Scikit-Learn) and machine learning (e.g. PyTorch, Tensorflow, Huggingface, LangChain, LiteLLM).
• A high level of competence in applied maths, statistics and scientific methods.
• Clear written and verbal communication.
• Ability to work autonomously on data science projects and as part of the team.

To Apply

If you feel you are a suitable candidate and would like to work for DVSA, please click apply to be redirected to our website to complete your application.

DigitalGenius is a venture-backed artificial intelligence company bringing practical applications of deep learning and AI to some of the largest ecommerce customer service operations in the world, as well as high-growth companies. We’re a dedicated team of thoughtful and hard-working people committed to transforming customer service through the application of artificial intelligence. Role The continuous improvement of our products and the range of innovation projects we are committed to require us to scale our Machine Learning team. We are searching for a Machine Learning Engineer to join our core AI Team. This is a highly technical role for an outstanding individual who can take ownership of projects and start new initiatives. As a Machine Learning Engineer at DigitalGenius, you will be responsible for building and improving our Natural Language Processing, Image Recognition, and Recommendation solutions to maximise the product’s performance for our customers. Your time will be divided between improving the core product, researching and developing new ML applications and working closely with our clients. This is an excellent opportunity for those with strong programming capabilities and a deep understanding of AI. We are looking for someone with complementary skills that extend beyond NLP, preferably somebody with experience in ecommerce. The AI team at DigitalGenius owns all ML-related research, implementation and maintenance. In practice, this means keeping up to date with the SOTA research, data analysis, and developing scalable production services and infrastructure. Responsibilities - Proactive approach with team members and clients - Continuous improvement of core AI services - Take ownership of the services within your expertise - Contribute to the ongoing innovation R&D projects - Implement and maintain ML Infrastructure - Requirements - Degree in relevant field with 3+ years of industry experience - Strong Technical Skills: Python, Production APIs, Infrastructure as Code, - AWS or other Cloud provider - Deep understanding of Natural Language Processing / Generative AI / - Image Recognition - Extensive experience with machine learning techniques and algorithms such as supervised and unsupervised learning techniques, predictive modelling and statistics. - Experience with MLOps - Excellent organisation skills, working independently and ability to deliver results for deadlines. - A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively. - Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences. - Experience in ecommerce space Benefits - Competitive Salary - Generous vacation time (25 days of annual leave) - Yearly "Reset Week" in addition to annual leave allowance - Freedom to experiment with your own ideas - Environment to develop your skills without bureaucracy or red tape - Monthly fitness stipend of $210 or fully paid Third Space Membership We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

A unique opportunity for an Audio Systems Engineer to join a very early-stage London technology company building a next-generation edge device product currently in stealth. Founded in 2024 by an exceptionally experienced team of product designers and engineers, several of whom have previously built and exited companies for significant sums, this is a genuine ground-floor opportunity to shape a product from first principles.
This is a small, high-calibre team spanning hardware, embedded systems, software and machine learning. They are building something ambitious, technically complex and product-led, with audio forming a central pillar of the roadmap.

Salary: £55,000 to £70,000 per annum + equity + benefits. £55,000 is realistic for someone straight from PhD level with strong relevant foundations.

Location: Central London, 4 days per week onsite.

Requirements for Audio Systems Engineer:

• Strong academic or commercial experience in audio DSP and signal processing
• PhD in Audio Engineering, Signal Processing, Electrical Engineering, Computer Science or similar, or MSc with strong relevant experience
• Top academics throughout including a 2.1 or 1st degree and at least ABB at A Level
• Strong programming skills in C or C++ with experience working in real-time or low-latency environments
• Practical Python experience for analysis, benchmarking and evaluation tooling
• Experience shipping embedded audio systems or major audio subsystems into production, either commercially or through advanced research
• Strong fundamentals in DSP blocks such as filtering, AGC, DRC, noise suppression, VAD or echo control
• Ability to operate effectively in a fast-paced startup environment
• Strong communication skills and ability to collaborate across hardware, embedded and ML or cloud engineers
• Willingness to work onsite in Central London 4 days per week

Experience in the following would be beneficial:

• Audio codecs and streaming pipelines such as Opus, AAC, RTP or WebRTC-style systems
• Hardware-adjacent experience such as I2S, ADC or DAC, DMA, SPI, I2C or UART
• Experience using oscilloscopes or logic analysers
• Audio measurement techniques and designing repeatable evaluation methodologies
• Always-on or low-power audio detection systems
• Familiarity with ML frameworks such as PyTorch or TensorFlow
• Experience with GStreamer, WebRTC audio processing, SpeexDSP, RNNoise or similar

Responsibilities for Audio Systems Engineer:

• Design, implement and tune a robust end-to-end audio pipeline from real-time capture on-device through to cloud-based processing
• Deliver reliable performance in noisy, unpredictable real-world environments
• Implement and optimise DSP components under tight compute and power constraints
• Define objective performance metrics and build repeatable evaluation and regression testing harnesses
• Debug audio issues across the full stack using instrumentation, profiling and lab equipment where required
• Work closely with ML and cloud engineers to enable audio-driven intelligence via offline and online pipelines
• Collaborate with cross-functional teams to balance quality, latency, compute, power and system complexity
• Contribute to engineering best practice, documentation and design discussions as the team scales

What the role offers:

• A genuine greenfield opportunity within a stealth product
• High ownership and influence over the audio subsystem from day one
• Close collaboration with an experienced founding team
• Equity alongside salary
• The opportunity to build intelligent audio systems that unlock richer data insight than video analytics alone

Applications:
If you would like to apply for this unique Audio Systems Engineering role then please send your CV via the relevant links.
We are committed to creating an inclusive and accessible recruitment process. If you require reasonable adjustments for your application, for example due to a disability, please highlight this by separately emailing . If this email address has been removed by the job board, full contact details are available on our website.

Keywords: Audio Systems Engineer / Embedded DSP Engineer / Audio DSP Engineer / Signal Processing Engineer / Embedded Software Engineer / Audio ML Engineer / Edge AI Engineer / Real-Time Systems Engineer / Acoustic Engineer / C++ Engineer / Embedded C Engineer / Audio Software Engineer / C / C++ / Python / DSP / AGC / DRC / VAD / Echo Cancellation / Opus / AAC / WebRTC / RTP / I2S / SPI / I2C / DMA / PyTorch / TensorFlow / GStreamer / SpeexDSP / RNNoise / Audio Engineering / Electrical Engineering / Signal Processing / Computer Science / Acoustics

RedTech Recruitment Ltd focus on finding roles for Engineers and Scientists. Even if the above role is not of interest, please visit our website to see our other opportunities.
We are an equal opportunity employer and value diversity at RedTech. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• Role/Job title: AI Architect
• Mode of working London- 3 days onsite
• Type of Employment- Permanent

The Role:

As an Artificial Intelligence Architect, you will lead client-facing initiatives at the forefront of Generative and Agentic AI. This high-impact, senior consulting role blends visionary thinking with deep technical expertise, solution architecture, and strategic advisory. You will be instrumental in shaping innovative AI solutions that drive transformation across enterprise environments.

Your Responsibilities:

• Client Engagement: Partner with sales leaders to qualify opportunities, shape proposals, and build compelling business cases. Act as a trusted advisor to clients during discovery sessions, workshops, and bid processes.
• Solution Design: Translate client needs into fit-for-purpose Data & AI solutions, leveraging modern cloud platforms (Azure/AWS, with GCP/Oracle as a plus). Design AI interventions for application support, monitoring, and business operations.
• Technical Leadership: Lead complex implementations that deliver measurable outcomes. Architect and scale GenAI chatbots and Agentic AI solutions. Evaluate and select appropriate models, frameworks, and orchestration tools.
• Thought Leadership: Produce thought leadership content, refine go-to-market propositions, and maintain strong knowledge of the competitive landscape.
• Collaboration: Work closely with cross-functional teams-including data science, engineering, and business stakeholders-to identify opportunities and design robust AI solutions. Foster cross-functional collaboration between various stakeholders like business, data science, and engineering.
• Innovation: Contribute to overall account strategy, ensuring technical solutions align with business priorities. Drive productivity and cost optimizations.

Your Profile:

Essential skills/experience/knowledge:

• Experience in architecting and solutioning in Gen AI, Agentic AI, classic ML, and automation space.
• Good understanding of Prompt engineering, RAG pipelines, Supervised/unsupervised Model tuning, MLOps/LLMOps pipelines, and AI observability.
• Experience in Enterprise-grade RAG-based solutions with LLMs (OpenAI, Hugging Face, LLaMA, etc.) and vector databases (Pinecone, Weaviate, FAISS, etc.).
• Ability to design enterprise-level AI/Gen AI platform/solutions with the client’s existing enterprise stack.
• Hands-on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph).
• Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services.
• Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems.
• Proficiency in Python with AI/ML frameworks (PyTorch, TensorFlow).
• Experience with MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes).
• Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation.
• Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems.
• Strong articulation, stakeholder management, and consulting skills. Experience working on client proposals RFI/RFP/Orals stages.
• Experience leading a team of AI/software engineers.

Rewards & Benefits:

TCS is consistently voted a Top Employer in the UK and globally. Our competitive salary packages feature pension, health care, life assurance, laptop, phone, access to extensive training resources and discounts within the larger Tata network.

We offer health & wellness initiatives and sports events; we are the proud sponsor of the London Marathon.

JOB- AI Engineer

LOCATION- London (Hybrid 2 days per week in the office)

TERM- Permanent

SALARY- £70,000 to £100,000 per annum (plus benefits)

My client is an innovative fintech company developing intelligent, data-driven products to improve financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office.

The AI Engineer will ideally have the following attributes:

Knowledge / experience in Artificial Intelligence, Machine Learning, or Data Science

A degree qualification (BSc, MSc, PhD etc.) in Computer Science, Artificial Intelligence, Mathematics, Data Science or similar

Strong programming skills in Python

Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn

Experience working with large datasets and building data pipelines

Knowledge of cloud platforms such as AWS, GCP, or Azure

Experience developing and deploying AI/ML models into production environments

Understanding of APIs, microservices, and modern software development practices

Ability to work both independently and as part of a collaborative engineering team

Excellent communication skills (both verbal and written)

Keen to develop technically and grow within a fast-paced fintech environment

The AI Engineer role will involve:

Working within the existing engineering and data teams to develop AI-driven products

Designing, building, and deploying machine learning models

Developing data pipelines and preparing datasets for model training

Optimising model performance and monitoring production systems

Collaborating with software engineers to integrate AI solutions into applications

Researching and implementing new AI techniques to improve product capabilities

If you are interested in this position, please apply with an up-to-date CV as soon as possible, along with your availability and salary expectations.

TPBN1_UKTJ

Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern frameworks and libraries. Collaborate closely with data scientists, engineers, and stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model performance to ensure accuracy and efficiency. Contribute to team knowledge by mentoring and supporting colleagues. Bring creativity and fresh perspectives to problem-solving and technical solutions. What Were Looking For: We welcome applications from women who are passionate about machine learning and eager to grow: Strong Python skills and experience with ML libraries (pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, PyTorch). Familiarity with model deployment and serving tools (ONNX, TensorRT, TensorFlow Serving, TorchServe). Experience with ML lifecycle tools (MLflow, Kubeflow, Azure ML Pipelines). Knowledge of distributed data processing (PySpark) and software engineering principles (Git). A collaborative mindset and excellent problem-solving abilities. Experience in data cleansing, exploratory data analysis, and visualisation. A continuous learning mindset and interest in emerging AI/ML technologies. Why Join Us? Work on impactful AI projects with real-world applications. Be part of a collaborative and forward-thinking team. Access to continuous learning and development opportunities. Flexible working arrangements and a supportive work culture. TPBN1\_UKTJ

Location: London (Hybrid) Salary: Competitive + Benefits Halian are representing a leading UK digital publishing organisation is seeking an AI Engineer to drive AI innovation across editorial, commercial, and product teams. This is a newly created opportunity to play a pivotal role in shaping how artificial intelligence is embedded into a large-scale newsroom and digital media environment. You will work cross-functionally to identify high-impact use cases and design practical, scalable AI solutions that improve efficiency, engagement, and decision-making. The Role Design, prototype, and deploy AI-driven tools to enhance newsroom and business workflows Develop prompt-engineered generative AI applications for summarisation, tagging, research support, and operational efficiency Build and test AI agents and automation workflows to streamline repetitive processes Partner with editorial, product, commercial, and technology stakeholders Foster a test-and-learn culture through experimentation and rapid iteration Ensure responsible and ethical AI deployment aligned with organisational standards Stay current with developments in LLMs, generative AI, and applied machine learning About You Proven experience in AI/ML engineering, AI architecture, or data science Strong understanding of generative AI, LLMs, NLP, and ML frameworks (e.g., PyTorch, TensorFlow, Hugging Face) Experience deploying AI models in cloud environments (AWS, Azure, or GCP) Strong Python skills and experience integrating APIs and automation tools Commercial mindset with the ability to translate business needs into scalable AI solutions Experience within media, publishing, or digital product environments is advantageous Whats on Offer Competitive salary 25 days holiday (increasing with service) Pension and life cover Employee discounts and wellbeing support Onsite facilities including gym and healthcare support This is an excellent opportunity for an AI Engineer who wants to see their work deployed at scale within a high-impact, fast-paced digital environment. For a confidential discussion or to apply, please get in touch. TPBN1\_UKTJ

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute to feature store development Support production models through monitoring, performance analysis, and continuous improvement Apply responsible AI practices, including model explainability and fairness assessment Present experiment findings and production outcomes to stakeholders, articulating operational and strategic value Mentor junior colleagues and share learnings across the team About You You will have experience in many of the following: Hands-on experience developing and deploying ML models in Python using frameworks such as scikit-learn, XGBoost, PyTorch, or TensorFlow Strong experience with AWS ML services (SageMaker, Lambda, S3) in production environments Strong experiment design skills: hypothesis formulation, A/B testing methodology, and statistical evaluation Proven track record transitioning models from experimentation to production with appropriate governance and quality controls Experience with experiment tracking and MLOps tooling (MLflow, Weights & Biases, Data Version Control) Experience developing LLM/GenAI applications, including prompt engineering and RAG architectures It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help You With Them Experience with advanced LLM techniques: agents, tool use, and agentic workflows Experience with vector databases (Pinecone, Weaviate, pgvector) for RAG applications Experience with feature stores (Feast, AWS Feature Store) Experience with containerisation (Docker) and orchestration (Kubernetes, ECS) Familiarity with Infrastructure as Code (Terraform, CloudFormation) Experience with data processing frameworks (Spark, Dask) for large-scale workloads Understanding of data governance and compliance frameworks TPBN1\_UKTJ

AI Architect (Generative & Agentic AI)

Permanent

Location: London (onsite twice a week)

Salary: £80,000 - £95,000 Per Annum D.O.E Plus benefits & Bonus

Shape the next generation of enterprise AI

We’re looking for a senior AI Architect to lead the design and delivery of cutting-edge Generative and Agentic AI solutions across complex enterprise environments.

This is a client-facing, strategic role for someone who combines deep technical expertise with strong consulting instincts, someone who can move comfortably between vision, architecture, and real-world delivery.

You’ll work on high-value transformation initiatives, helping organisations turn AI from experimentation into measurable business impact.

The Role:

As an AI Architect, you’ll operate at the intersection of strategy, solution design, and delivery.

You will:

• Lead discovery and design of AI-led solutions aligned to business outcomes
• Architect and scale GenAI, RAG, and Agentic AI systems in production
• Advise senior stakeholders on AI strategy, feasibility, and roadmap
• Act as a technical authority during bids, proposals, and client workshops
• Guide engineering teams through complex implementations

This role offers real ownership, from shaping ideas through to deploying production-grade AI platforms.

Key Responsibilities:

Client & Stakeholder Engagement

• Partner with commercial and delivery teams to qualify opportunities and shape compelling AI propositions
• Act as a trusted advisor in workshops, discovery sessions, and solution design discussions
• Support RFI/RFP responses and client presentations with clear, credible technical direction

Solution Architecture & Delivery

• Design enterprise-ready Data & AI architectures using modern cloud platforms (AWS, Azure, GCP)
• Architect RAG-based GenAI solutions, chatbots, and autonomous/agentic workflows
• Select appropriate models, frameworks, orchestration tools, and evaluation approaches
• Ensure solutions are secure, scalable, observable, and production-ready

Technical Leadership & Innovation

• Lead and mentor teams of AI and software engineers
• Drive best practices across MLOps / LLMOps, governance, and AI observability
• Contribute to reusable accelerators, reference architectures, and go-to-market offerings

What We’re Looking For:

Essential Experience & Skills:

• Proven experience architecting solutions across Generative AI, Agentic AI, ML, and automation
• Strong understanding of:
• Prompt engineering
• RAG pipelines
• Model fine-tuning (supervised / unsupervised)
• MLOps / LLMOps and AI observability
• Hands-on experience building enterprise RAG solutions using LLMs (e.g. OpenAI, Llama, Mistral, Claude) and vector databases (Pinecone, Weaviate, FAISS, etc.)
• Practical experience with GenAI frameworks such as LangChain, LlamaIndex, and agentic frameworks like AutoGen, CrewAI, LangGraph
• Strong Python expertise with AI/ML frameworks (PyTorch, TensorFlow) and NLP libraries
• Experience deploying AI solutions on at least one major cloud platform (AWS, Azure, or GCP)
• Solid software engineering foundations for building scalable, maintainable systems
• Experience leading or guiding teams of AI / software engineers

Consulting & Communication:

• Strong stakeholder management and communication skills
• Comfortable translating complex AI concepts into clear business value
• Experience supporting proposals, bids, and client presentations

Why Apply?

• Work on meaningful, enterprise-scale AI transformation programmes
• Shape AI strategy and architecture, not just build proofs of concept
• High visibility, senior-level role with real influence
• Continuous exposure to modern AI tooling, frameworks, and delivery models
• Strong investment in learning, innovation, and professional development

We are seeking an experienced AI Architect to join a global consulting team. This role is central to shaping enterprise-scale AI transformations, combining deep technical expertise with strategic client engagement.

As a Gen AI Architect, you will:

• Lead the design and delivery of AI and cloud-native architectures, including Generative AI, NLP, and LLM solutions.
• Retrieval-Augmented Generation (RAG) and CAG (Cache Augmented) Architecture: Defining architectural patterns for end-to-end pipelines
• Act as a trusted advisor to senior stakeholders, guiding AI roadmaps and strategy.
• Translate complex business needs into scalable AI-driven solutions across public cloud, edge, and hybrid environments.
• Drive thought leadership through client workshops, industry forums, and technical advisory.
• Ensure AI solutions meet governance, ethics, and responsible AI standards.
• Collaborate with internal teams and global partners to deliver world-class AI platforms.

Key Skills & Experience:

• 10+ years of technical leadership (with a strong background in Software Engineering / Enterprise scale architecture)
• Knowledge of GenAI operations (ideally, experience governing AI models in production environments)
• Expertise across cloud platforms (AWS, Azure, GCP), Kubernetes, and containerised systems.
• Strong technical skills in Python, Java/Go, TensorFlow, PyTorch, and data engineering.
• Proven ability to engage directly with CxO-level stakeholders.
• Experience in MLOps, AI governance, and large-scale deployment.
• Recognised professional certifications in AI or cloud technologies.

If you have these skills and would like to find out more, please apply now

Junior Data Scientist Stealth AI Fintech Startup | London | Hybrid (3 days on-site) We’re hiring on behalf of an early stage AI fintech building a platform that is redefining how investors analyse, access, and manage alternative assets (private equity, private credit, and broader private markets). They’ve built their MVP, raised funding from experienced fintech founders and senior financial services operators, and are now scaling a product at the intersection of AI, automation, and investment workflows. We’re looking for a high-potential Junior Data Scientist who wants to build production AI systems - not just models in notebooks. The Role We’re seeking an Applied AI&Data Scientist who thrives in a hands-on, experimental environment. You’ll help design, build and deploy AI models that form the backbone of the investment intelligence platform, from data processing and model training to inference and automation workflows. This is ideal for someone who builds fast, iterates relentlessly, and learns even faster and has a genuine passion for AI frameworks, LLMs, and the next wave of intelligent automation What You’ll Be Doing * Designing and prototyping LLM-powered workflows (RAG, embeddings, agentic systems) * Cleaning and structuring complex, real-world datasets * Building and deploying production-grade ML/AI services * Contributing to evaluation, monitoring, and model performance improvements * Researching and implementing emerging AI approaches where they create practical value What We’re Looking For * BSc/MSc (2:1+) in Computer Science, Mathematics, Data Science, or related STEM * Strong Python skills * Experience with PyTorch, TensorFlow, or JAX * Practical experience applying LLMs to real problems * Broader ML exposure (e.g. tree-based models, deep learning fundamentals) * Familiarity with vector databases and RAG pipelines] * Experience deploying models via APIs (e.g. FastAPI) * Solid understanding of GCP and containerised environments (Docker) * High ownership mindset; you prototype, test, and improve independently * Right to work in the UK (no sponsorship) Nice to Have * Experience with agentic frameworks (LangGraph, CrewAI, AutoGPT) * Fine-tuning or structured model evaluation experience * Understanding of transformers and embeddings * Exposure to financial data or fintech systems * Contribution or Interest in open-source or research side projects Why Join * Build applied AI in a high-value, complex domain * Ship quickly in a well-funded early-stage startup * Work directly with an experienced CTO * Gain real ownership and technical depth early in your career * Join at an inflection point as the product scales

Position: Forward Deployed Engineer (B2)
Location: London, UK (Hybrid)
Permanent position

Job Requirements

• Experience building GenAI applications, including RAG, multi-agent systems, fine-tuning, etc., with tools such as LangChain, LangGraph etc.
• Clear understanding of Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs
• Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP
• Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e., pandas, scikit-learn, PyTorch, etc.)
• Experience with DevOps tools: Kubernetes, Docker, Terraform, CI/CD Pipelines, GitHub/GitLab, GitOps, GitHub Actions, Jira, Jenkins, CircleCI, Datadog, Slack.
• Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
• Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
• 5+ years of engineering and technical deployment experience in a customer-facing set up
• Should scoped and delivered complex systems in rapid and ambiguous environments
• Delivered production-grade code across frontend and backend using Python, JavaScript, or similar stacks
• Understand how AI model behaviour affects product experience
• Communicate clearly with engineers, product teams, and customer stakeholders
• Flag risks early and seek attention as per the severity

Key responsibilities:

• Help clients integrate and adopt the offerings; demonstrate the impact / outcomes the offerings commited such as KPI improvements and help client succeed
• Embed within the client landscape, understand their domain and co-develop solutions with the core product engineering teams
• Own technical delivery across multiple deployments from prototype to stable release
• Build bespoke AI and transformative agentic AI solutions
• Technical debugging and root cause analysis
• Rapid prototyping
• Implement and administer best practices