Make yourself visible and let companies apply to you.
Roles

TensorFlow Jobs

Overview

Discover the latest TensorFlow jobs on Haystack, your go-to IT job board for cutting-edge AI and machine learning careers. Whether you're a TensorFlow developer, engineer, or data scientist, find top opportunities that match your skills and advance your career in deep learning. Start your search today and connect with leading tech companies hiring TensorFlow experts now.
Filters applied
TensorFlow
Search
Salary
Location
Remote preference
Role type
Seniority
Tech stack
Sectors
Contract type
Company size
Visa sponsorship
Data Scientist
McGregor Boyall
Uckfield
Fully remote
Mid
£65k
RECENTLY POSTED
tensorflow
processing-js
pytorch
python
Job Title: Data Scientist (LLMs & ML) - UK Remote
A fast-growing healthcare organization is seeking a Data Scientist with strong experience in machine learning, deep learning, and Large Language Models (LLMs) to help drive innovation and automation in clinical services. This is a full-time, remote UK-based role.
Unfortunately we can’t consider candidates that require sponsorship
Key Responsibilities:
Research and deploy LLM-based solutions (e.g., LangChain, Mastra.ai, Pydantic) for document processing, summarization, and clinical Q&A systems.
Develop and optimize predictive models using scikit-learn, PyTorch, TensorFlow, and XGBoost.
Design robust data pipelines using tools like Spark and Kafka for real-time and batch processing.
Manage ML lifecycle with tools such as Databricks, MLflow, and cloud-native platforms (Azure preferred).
Collaborate with engineering teams to ensure scalable, secure ML infrastructure aligned with compliance standards (e.g., ISO27001).
Ensure data governance, particularly around sensitive healthcare data.
Share best practices and stay current with developments in AI, ML, and LLMs.
Requirements:
Proven experience with LLM frameworks and transformer-based architectures.
Strong Python skills and familiarity with key ML/DL libraries.
Experience with Azure (or similar cloud platforms), containerization (Docker/Kubernetes a plus), and MLOps tools.
Understanding of healthcare data privacy, compliance (e.g., ISO standards), and secure data handling.
Strong communication skills and ability to work cross-functionally in a collaborative environment
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
AI Engineer
Oscar Technology
London
Hybrid
Mid
£400 - £450
RECENTLY POSTED
tensorflow
python
pytorch
AI Engineer 6 Month Contract Hybrid £400-450 (IIR35)
We’re looking for an AI Engineer with deep expertise in data privacy to help us build safe, compliant, and intelligent systems. This role sits at the intersection of AI, data engineering, and regulatory compliance, ensuring our AI products align with frameworks like GDPR and CCPA while delivering real-world value.
Location: London (3 days onsite)
Contract: 6 Months (extension very likely)
Rate: £400-450 (IIR35)
Start date: ASAP
What you’ll do:
Build and deploy AI models (LLMs, NLP, image recognition, predictive analytics) into business workflows.
Prototype privacy-first solutions using techniques such as federated learning, differential privacy, and secure multi-party computation.
Implement safeguards across the ML lifecycle: data security, access controls, and loss-prevention policies.
Design monitoring and auditing frameworks to detect anomalies, leakage, or compliance risks.
Collaborate with legal, product, and security teams to translate regulation into technical solutions.
Develop assessment tools, stress-test models for vulnerabilities, and clearly communicate findings to non-technical audiences.
Create documentation, training, and guidance to embed privacy-aware practices across teams.
What we’re looking for:
Strong track record as an AI/ML or Privacy Engineer with end-to-end model development experience.
Proficiency in Python, plus hands-on experience with TensorFlow, PyTorch, or JAX.
Skilled in cloud environments (GCP required; multi-cloud experience a plus).
Knowledge of adversarial testing, model robustness, and data security best practices.
Excellent communicator, able to simplify technical risks and privacy issues for broader teams.
Experience mentoring or guiding peers on model training and AI deployment.
If you’re interested, apply now for immediate consideration.
Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy.
To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.
Data Scientist - Hybrid
Exposed Solutions
Multiple locations
Hybrid
Mid
£35k - £45k
RECENTLY POSTED
tensorflow
git
processing-js
kubernetes
pytorch
python
+2
Our client, a dynamic and innovative data and analytics organisation, is seeking an experienced Data Scientist to join their growing team. This is an excellent opportunity for a candidate who thrives on solving complex problems with data and is motivated by the transformative impact that Data and AI can deliver within organisations.
Key Responsibilities
Deliver high-quality data science and analytics solutions, contributing to design, development, and product roadmaps.
Collaborate with clients and internal teams to gather requirements, analyse data, and validate solutions.
Develop and implement descriptive, predictive, and prescriptive analytics, integrating data from multiple sources.
Produce clear documentation, reports, and visualisations.
Provide technical input for proposals, solution scoping, and proofs-of-concept.
Attend occasional client meetings or events across the UK, Europe, and internationally.
Required Experience
Strong knowledge of data modelling, machine learning, and/or advanced data analytics.
Demonstrable track record of delivering data analytics projects as part of a team.
Hands-on experience with collaborative software development and version control (preferably Git).
Familiarity with Agile/SCRUM methodologies.
Exposure to pre-engagement activities such as project scoping, technical feasibility analysis, or prototype development.
Comfortable contributing to technical discussions and implementing solutions defined by project leads.
Desirable Experience
Strong Python expertise.
Experience with GNU/Linux environments.
Familiarity with key data science and ML frameworks (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost, Hugging Face).
Experience in natural language processing, tabular data analysis, or computer vision.
SQL proficiency.
Exposure to containerisation (Docker, Kubernetes) and cloud-native architectures.
Experience with CI/CD, automated testing, and iterative product development.
Knowledge of graph databases and graph analysis.
Benefits
Our client offers an exciting and supportive environment with a strong focus on employee wellbeing and career development. Benefits include:
35 days annual leave (including public holidays) plus up to 10 days unpaid leave.
Flexible working arrangements around core hours.
Private health insurance and pension scheme.
Contribution to gym membership.
Ongoing professional development support (courses, certifications, conferences).
Regular company outings, team celebrations, and knowledge-sharing sessions.
Monthly recognition of outstanding performance.
ALL APPLICANTS MUST BE FREE TO WORK IN THE UK.
Exposed Solutions is acting as an employment agency to this client. Please note that no terminology in this advert is intended to discriminate on any grounds and we confirm that we will gladly accept applications from any persons for this role.
Machine Learning Scientist III
Expedia Group
Multiple locations
Hybrid
Mid
Private salary
RECENTLY POSTED
tensorflow
python
pytorch
Join the Expedia Group Family!
At Expedia Group, we power global travel for everyone, everywhere. Our mission is to design cutting-edge technology that makes travel smoother and more memorable, while creating groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential to our success.
Why Join Us?
To shape the future of travel, we believe that people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs. Here, differences are celebrated, and we know that when one of us wins, we all win.
We offer a comprehensive benefits package that includes:
Exciting travel perks
Generous time-off
Parental leave
A flexible work model (with some pretty cool offices)
Career development resources
All of this is designed to fuel your passion for travel and ensure a rewarding career journey. We’re building a more open world—join us!
About the Role
The Search AI team, part of Expedia Product & Technology, is on the lookout for a Machine Learning Scientist III to help shape the next generation of ranking systems. You’ll work on cutting-edge applications of Large Language Models (LLMs) and Generative AI, combining them with proven machine learning techniques to enhance personalization and traveler experience at scale.
Your Responsibilities
In this role, you will:
Research and design innovative ML and GenAI approaches for large-scale ranking and personalization.
Build, test, and deploy ML models into production, validating performance through online experimentation.
Collaborate with engineers, analysts, and product partners to deliver robust, scalable, and business-driven solutions.
Translate complex technical results into clear insights and recommendations for both technical and non-technical audiences.
Stay current with advances in ML and GenAI to drive innovation within the team.
Minimum Qualifications
Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent professional experience.
4+ years of applied Machine Learning experience, with models built and maintained in a production environment.
High proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow.
A strong foundation in Machine Learning fundamentals, statistics, and experimentation.
Preferred Qualifications
Experience with ranking or recommender systems.
Experience with recent Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures.
Comfortable working with large-scale data and distributed systems (e.g., Spark).
Effective communication skills and experience working across disciplines to solve complex problems.
Location Expectations
This role is based in London , in alignment with our flexible work model, which requires employees to be in-office at least three days a week. Relocation assistance may be considered for qualified candidates.
Accommodation Requests
If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team.
Why Expedia Group?
We are proud to be named a Best Place to Work on Glassdoor in 2024 and recognized for our award-winning culture by organizations like Forbes, TIME, and Disability:IN.
Join us at Expedia Group, where our family of brands includes:
Brand Expedia®
Hotels.com®
Expedia® Partner Solutions
Vrbo®
trivago®
Orbitz®
Travelocity®
Hotwire®
Wotif®
ebookers®
CheapTickets®
Expedia Groupâ„¢ Media Solutions
Expedia Local Expert®
CarRentals.comâ„¢
Expedia Cruisesâ„¢
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability, or age.
Senior Data Scientist
CV Technical
London
Hybrid
Senior
£80k - £90k
RECENTLY POSTED
aws
tensorflow
python
pytorch
pandas
sql
London, UK (Hybrid 2 days pw)
Leading Tech Company
About the Company:
Our client is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry.
The Opportunity:
We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you’ll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies.
Key Responsibilities:
Develop and implement machine learning models and algorithms to solve real-world business challenges.
Collaborate with cross-functional teams to identify opportunities where data science can create value.
Conduct statistical analysis and data mining to extract insights from large, diverse datasets.
Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences.
Ensure data quality and integrity while building scalable solutions.
Stay current with the latest developments in AI, machine learning, and data science methodologies.
Experienced Needed:
Masters or PhD in a STEM subject
Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
Solid SQL skills and experience working with relational databases.
Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous.
Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments.
Excellent communication skills to effectively present insights and recommendations.
A collaborative mindset, with the ability to work in a dynamic, fast-paced environment.
What’s on Offer:
Salary 80,000 - 90,000 DOE
Hybrid working model with an office in central London.
Opportunities for professional growth and development.
The chance to work on impactful projects within a forward-thinking tech company.
How to Apply:
If you’re a Data Scientist looking for your next challenge and want to work with a growing tech company that’s making an impact, we’d love to hear from you. Please apply via LinkedIn or reach out directly
Please note, sponsorship is NOT available for this role.
Senior Data Scientist
CV TECHNICAL LTD
London
Hybrid
Senior
£80k - £90k
RECENTLY POSTED
aws
tensorflow
python
pytorch
pandas
sql
London, UK (Hybrid 2 days pw)
Leading Tech Company
About the Company:
Our client is a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry.
The Opportunity:
We are partnering with our client to find a talented Senior Data Scientist who is passionate about using data to deliver real business impact. This is a fantastic opportunity to join a collaborative team where you’ll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies.
Key Responsibilities:
Develop and implement machine learning models and algorithms to solve real-world business challenges.
Collaborate with cross-functional teams to identify opportunities where data science can create value.
Conduct statistical analysis and data mining to extract insights from large, diverse datasets.
Translate complex data findings into clear and actionable recommendations for both technical and non-technical audiences.
Ensure data quality and integrity while building scalable solutions.
Stay current with the latest developments in AI, machine learning, and data science methodologies.
Experienced Needed:
Masters or PhD in a STEM subject
Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or PyTorch.
Solid SQL skills and experience working with relational databases.
Exposure to cloud platforms (AWS, GCP, or Azure) would be advantageous.
Strong analytical and problem-solving abilities, with the ability to work in ambiguous environments.
Excellent communication skills to effectively present insights and recommendations.
A collaborative mindset, with the ability to work in a dynamic, fast-paced environment.
What’s on Offer:
Salary £80,000 - £90,000 DOE
Hybrid working model with an office in central London.
Opportunities for professional growth and development.
The chance to work on impactful projects within a forward-thinking tech company.
How to Apply:
If you’re a Data Scientist looking for your next challenge and want to work with a growing tech company that’s making an impact, we’d love to hear from you. Please apply via LinkedIn or reach out directly
Please note, sponsorship is NOT available for this role.
Machine Learning Quant Engineer
Michael Page Technology
London
Hybrid
Mid
£1k - £1k
RECENTLY POSTED
aws
tensorflow
python
pytorch
This temporary role requires an ML Quant Engineer with expertise within an Investment Bank. The position is based in London and involves developing and implementing machine learning models to support financial decision-making.
Client Details
The hiring organisation is a large entity within the financial services industry.
Description
Design and implement machine learning models for financial applications, with a focus on derivatives pricing, risk analytics, and market forecasting.
Build scalable ML pipelines to process large volumes of financial data efficiently.
Develop deep learning architectures for time series prediction, anomaly detection, and pattern recognition in market data.
Optimise model performance using techniques such as hyper-parameter tuning, ensemble methods, and neural architecture search.
Collaborate with quantitative analysts to align ML models with pricing methodologies and identify opportunities for innovation.
Support the deployment of ML solutions into production systems for real-time risk management and pricing automation.
Profile
Advanced Machine Learning Expertise - Demonstrates deep understanding of ML algorithms (supervised, unsupervised, reinforcement learning) and has hands-on experience with deep learning architectures like RNNs, LSTMs, and Transformers.
Strong Financial Domain Knowledge - Understands financial instruments, derivatives, and risk management principles, with experience applying ML in trading, pricing, or risk analytics contexts.
Technical Proficiency - Expert in Python and familiar with ML frameworks such as PyTorch, TensorFlow, and JAX. Skilled in using tools like scikit-learn, XGBoost, and LightGBM.
Data Engineering & Infrastructure Skills - Comfortable working with big data technologies (Spark, Dask), SQL/NoSQL databases, and cloud platforms (AWS, GCP, Azure). Able to build scalable ML pipelines for large-scale financial data.
Model Optimisation & Deployment Experience - Proven track record of deploying ML models at scale, with experience in hyper-parameter tuning, ensemble methods, and neural architecture search.
Collaborative & Business-Focused - Works effectively with quants and stakeholders to translate financial requirements into ML solutions. Communicates insights clearly and aligns models with strategic business goals.
Innovative & Analytical Mindset - Capable of developing data-driven approaches that complement traditional quantitative models and drive measurable impact in pricing and risk analytics.
Job Offer
A competitive daily rate up to £1200 per day (inside IR35), depending on experience.
The opportunity to work on cutting-edge machine learning projects in the financial services industry.
A temporary role offering valuable exposure to a global organisation in London.
BASED 4 DAYS PER WEEK IN THE OFFICE (Central London)
Principal Data Scientist
Sky
London
Hybrid
Mid
Private salary
RECENTLY POSTED
tensorflow
python
sql
We believe in better. And we make it happen.
Better content. Better products. And better careers.
Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate.
We turn big ideas into the products, content and services millions of people love.
And we do it all right here at Sky.
Data Science practice at Sky
Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value.
What you’ll do:
Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience .
Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems .
Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions
Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky
Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches.
Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution
What you’ll bring:
Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP
Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t
Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable
Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential
Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business
Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential)
Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential)
Database experience, preferably SQL (essential)
Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning
Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential)
The rewards
There’s one thing people can’t stop talking about when it comes to : the perks. Here’s a taster:
Sky Q, for the TV you love all in one place
The magic of Sky Glass at an exclusive rate
A generous pension package
Private healthcare
Discounted mobile and broadband
A wide range of Sky VIP rewards and experiences
Inclusion & how you’ll work
We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can.
We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process.
Your office space:
Osterley:
Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There’s also plenty of bike shelters and showers.
On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon.
We’d love to hear from you
Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next.
But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet.
If you believe in better, we’ll back you all the way.
Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.
Gen AI Lead
Tenth Revolution Group
Multiple locations
Hybrid
Leader
£100k - £120k
RECENTLY POSTED
tensorflow
pytorch
Generative AI Lead - Financial ServicesLocation: UK-based - Hybrid - London
Are you a visionary leader in Generative AI with a passion for transforming financial services? A leading consultancy is seeking a Generative AI Lead to drive innovation and growth across banking, capital markets, and insurance sectors.
This is a unique opportunity to shape the future of AI in finance-designing cutting-edge solutions, building high-performing teams, and delivering real-world impact for top-tier clients.
Responsibilities:
Spearheading the strategic development of generative AI offerings for financial services clients.
Leading the design and deployment of advanced AI solutions using technologies like GPT-4, Transformers, Diffusion Models, and LLMs.
Developing market propositions and establishing thought leadership in AI innovation.
Building and mentoring a world-class AI team.
Engaging directly with clients to deliver transformative, compliant, and ethical AI solutions.
Requirements:
Proven experience leading AI initiatives in banking, capital markets, or insurance.
Deep technical expertise in generative AI technologies and frameworks (e.g., PyTorch, TensorFlow, Hugging Face).
Strong business acumen and ability to align AI with client goals.
Excellent leadership, communication, and stakeholder management skills.
Passion for innovation and staying ahead of AI trends.
Why Apply?
Work with cutting-edge technologies and high-impact projects.
Join a forward-thinking team at the forefront of AI transformation.
Enjoy flexible working arrangements and a collaborative culture.
Company bonus
And more.
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Contact me:
Senior Computer Vision Engineer
NonStop Consulting Ltd
London
Hybrid
Senior
£65k - £70k
RECENTLY POSTED
tensorflow
aws
pytorch
docker
keras
Computer Vision Engineer - Sports Analytics Innovation
Location: London, UK (Hybrid / Flexible)Salary: £70,000 base + OTE up to £140k-£200k in Year 1
About the Opportunity
We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence. This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events.
You’ll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.
Key Responsibilities
Design, implement, and optimize deep learning algorithms for image and video analysisDevelop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systemsCurate and preprocess data to maximize training effectivenessDeploy models into production environments and monitor their performanceCollaborate closely with engineers, data scientists, and product teams to deliver integrated solutionsStay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches
About You
We’re looking for someone who thrives at the intersection of research and applied engineering. You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.
Essential experience:
Strong background in Computer Vision and image/video processingHands-on experience with OpenCV pipelinesProficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)Knowledge of CNN architectures and training dynamicsProven experience deploying and optimizing models for real-time applicationsStrong data science and metrics literacy
Nice to have:
PhD or Master’s in Computer Science, AI, or related fieldExperience with sports data, tracking systems, or analytics platformsFamiliarity with cloud platforms (AWS, GCP) and containerization (Docker)
Why Apply?
Work on high-impact, real-world projects where your algorithms will be deployed in live sports environmentsJoin a team passionate about research, innovation, and continuous learningCompetitive salary £70k base with exceptional **OTE (£140k-£200k Year 1)**Opportunity to make your mark in a fast-growing, cutting-edge technology sector
If you’re excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that’s shaping the future of sports technology, we’d love to hear from you.
ML Ops Engineer
Salt Search
London
Hybrid
Mid
£400
RECENTLY POSTED
terraform
tensorflow
aws
kubernetes
helm
pytorch
+6
Job Title: ML Ops / LLM Ops Engineer
Location: Hybrid (potentially 1 day per week in east London)
Contract: 6 month Contract
Day Rate: £400 per day (Outside IR35)
About the Role
We are seeking an experienced ML Ops / LLM Ops Engineer to join a high-profile digital transformation initiative. This role focuses on operationalising advanced Machine Learning services including Transformers, Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) solutions.
You will work closely with developers, technical leads, product owners, and QA teams to design, deploy, and support production-grade ML services. This is a fast-moving environment where cutting-edge Generative AI technologies are constantly evolving, so adaptability and technical excellence are essential.
Key Responsibilities
Design and implement tooling and technologies to support ML models and LLMs in production.
Deploy, maintain, and optimise machine learning services within a cloud environment (AWS).
Recommend and implement prompt management tools and provide expertise in prompt engineering.
Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services.
Enable auto-evaluation of prompts and models against domain-specific requirements.
Build Python-based microservices, data pipelines, and serverless functions.
Collaborate with stakeholders to translate data and AI requirements into scalable solutions.
Essential Experience & Skills
5+ years’ engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure.
Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy).
Expertise in AWS services (certification desirable).
Proven experience deploying and supporting LLMs in production.
Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face Trainer, etc.).
Experience with ML tooling (e.g. SageMaker, LangChain/LangSmith, MLflow, Dataiku, DataRobot).
Knowledge of embeddings, their applications, and limitations.
Hands-on experience in Agile / Lean / XP environments.
Excellent communication, problem-solving, and cross-team collaboration skills.
Proactive interest in Generative AI trends and best practices.
Desired Skills
Experience with chatbots and conversational AI (voice or text).
Familiarity with Terraform, Helm, Kubernetes, or Postgres.
Exposure to Data Science, NLP, Explainable AI (XAI).
Real-world delivery of Generative AI solutions, especially LLM-driven applications.
Rates depend on experience and client requirements
Gen AI Engineer
Akkodis
Multiple locations
In office
Mid
£600/day - £700/day
tensorflow
pytorch
python
Senior AI Engineer (HR innovation) London
My client is looking for an AI Engineer to lead the development and deployment of intelligent systems within their HR function. You will work closely with HR stakeholders, data scientists, and legal compliance teams to build secure and scalable multi-agent AI solutions using modern frameworks such as LangChain, AutoGen, LangGraph, and RAG.
Key Responsibilities:
Architect and implement AI-powered tools to automate and enhance HR workflows (e.g., onboarding, employee queries, policy navigation).
Design and deploy conversational agents using LangChain and AutoGen for internal use.
Build modular and scalable pipelines using LangGraph for multi-agent orchestration.
Integrate RAG systems to enable context-aware document retrieval from internal HR/legal databases.
Required Skills & Experience:
Solid exposure in AI/ML engineering, with a strong focus on NLP and LLMs.
Proven hands-on knowledge with: LangChain, AutoGen, LangGraph and RAG
Strong proficiency in Python and experience with frameworks like PyTorch or TensorFlow.
Experience working with vector databases (e.g., FAISS, Weaviate, Pinecone).
Familiarity with HR systems and data (Workday, SAP SuccessFactors, etc.) is a plus.
Excellent communication skills and ability to translate technical concepts for non-technical stakeholders.
Ideally you will be educated to Degree level and hold a MSc or PhD in Computer Science, AI, Machine Learning, or related sector. Due to the nature of this role, it wouldn’t go a miss if you have exposure within legal or regulated industries. Naturally, you’ll be obsessed with the world of AI with a genuine thirst for learning (Ideally with certifications in AI ethics or data governance!
Contact me today on (phone number removed) and I’ll tell you all about it.
Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law.
Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers.
By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Cyber Insight Analyst
Morson Talent
Location not specified
Hybrid
Mid
£45k - £55k
tensorflow
pytorch
python
sql
azure-databricks
Cyber Insights Analyst
City of London (Hybrid)
Up to £55,000 + 20% Bonus
Are you passionate about using data to solve complex problems and deliver real business impact? A global leader within Insurtech are looking for a Cyber Insights Analyst to join their global Cyber Insights & Analytics team.
This is a hands-on role where you ll transform diverse data sources. Ranging from policy and claims to cyber threat intelligence and incident response, into actionable insights that strengthen our underwriting decisions and frameworks. With their data strategy making strong progress, this is an exciting opportunity for someone with a few years experience in analytics or data science to take the next step in their career.
What you ll do
• Build and maintain dashboards and MI to monitor underwriting controls and support audits.
• Automate and manage reporting for underwriting class and product leaders.
• Investigate underwriting performance queries and provide actionable insights.
• Design, develop, and validate predictive models to inform underwriting decisions.
• Work with data engineering teams to design and maintain Azure Databricks pipelines.
• Support the automation of data-driven deliverables for proactive services.
• Identify and resolve data issues, recommending fixes and improvements.
• Collaborate with underwriters, actuaries, and operations teams to embed insights into strategy and decision-making.
• Present findings through clear dashboards, presentations, and reports tailored to both technical and non-technical audiences.
• Stay ahead of emerging tools, techniques, and best practices in data, ML, and AI.
What we re looking for
• A background in data science or advanced analytics (insurance/financial risk exposure is a plus).
• Strong Python and SQL skills, with experience working with large structured and unstructured datasets.
• Experience building interactive dashboards and reporting tools.
• Familiarity with data engineering, ETL processes, and data pipelines.
• Experience with statistical modelling and machine learning techniques, and libraries such as scikit-learn, PyTorch, or TensorFlow.
• Excellent communication skills able to explain complex analysis to non-technical stakeholders.
• Proactive, inquisitive mindset with strong problem-solving skills.
• Interest in cyber risk and awareness of emerging trends in the space.
Why join?
• Be part of a growing global team driving innovation in cyber analytics.
• Work with modern data platforms and cutting-edge analytics techniques.
• Make a tangible impact on underwriting performance and business strategy.
• Opportunity to develop your career in the intersection of cyber risk, data science, and insurance analytics.
If you re curious, driven, and eager to make your mark in a high-impact role, we d love to hear from you.
Apply now and help shape the future of cyber risk analytics.
Senior Computer Vision Engineer
NonStop Consulting
London
Hybrid
Senior
£65k - £70k
tensorflow
aws
processing-js
pytorch
docker
keras
Computer Vision Engineer - Sports Analytics Innovation
Location: London, UK (Hybrid / Flexible)
About the Opportunity
We are working with a pioneering technology company at the forefront of sports analytics and artificial intelligence. This is a unique chance to apply your expertise in computer vision and machine learning to real-world challenges - building advanced systems for precise player and pitch detection and tracking during live sports events.
You’ll be part of a collaborative, research-driven team where your work will directly influence how millions of fans, teams, and broadcasters experience sport.
Key Responsibilities
Design, implement, and optimize deep learning algorithms for image and video analysis
Develop and enhance computer vision pipelines using both classical methods (OpenCV) and modern techniques (CNNs, detection/segmentation heads)
Train, evaluate, and fine-tune models on large datasets, ensuring performance and accuracy in real-time systems
Curate and preprocess data to maximize training effectiveness
Deploy models into production environments and monitor their performance
Collaborate closely with engineers, data scientists, and product teams to deliver integrated solutions
Stay ahead of emerging trends in AI, CV, and ML, experimenting with innovative approaches
About You
We’re looking for someone who thrives at the intersection of research and applied engineering. You enjoy solving complex problems and pushing models into production that have tangible, high-profile impact.
Essential experience:
Strong background in Computer Vision and image/video processing
Hands-on experience with OpenCV pipelines
Proficiency with deep learning frameworks (PyTorch, TensorFlow, Keras)
Knowledge of CNN architectures and training dynamics
Proven experience deploying and optimizing models for real-time applications
Strong data science and metrics literacy
Nice to have:
PhD or Master’s in Computer Science, AI, or related field
Experience with sports data, tracking systems, or analytics platforms
Familiarity with cloud platforms (AWS, GCP) and containerization (Docker)
Why Apply?
Work on high-impact, real-world projects where your algorithms will be deployed in live sports environments
Join a team passionate about research, innovation, and continuous learning
Competitive salary 70k base with exceptional OTE ( 140k- 200k Year 1)
Opportunity to make your mark in a fast-growing, cutting-edge technology sector
If you’re excited by the idea of bringing Computer Vision innovation into live sports and want to be part of a team that’s shaping the future of sports technology, we’d love to hear from you.
Page 1 of 1

Frequently asked questions

What types of TensorFlow jobs are available on this platform?
Our platform lists a variety of TensorFlow-related positions, including Machine Learning Engineer, Data Scientist, AI Researcher, and Deep Learning Developer roles across industries.
Do I need to have extensive TensorFlow experience to apply for jobs here?
While many roles require solid TensorFlow experience, we also feature junior and entry-level positions ideal for candidates looking to grow their skills in TensorFlow development.
Can I find remote TensorFlow job opportunities on this board?
Yes, our job board includes both remote and on-site TensorFlow roles, allowing you to filter and find opportunities that best suit your work preferences.
How can I improve my chances of getting hired for a TensorFlow position?
Enhance your profile by showcasing TensorFlow projects, contributing to open-source repositories, obtaining relevant certifications, and tailoring your resume to highlight TensorFlow achievements.
Are there resources available to help me prepare for TensorFlow job interviews?
Absolutely! We provide blogs, tutorials, and interview preparation guides focused on TensorFlow concepts and related machine learning topics to help you succeed.