1 to 25 of 123 Permanent Deep Learning Jobs in the UK

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases more »

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of … headcount growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will also more »

Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has lead teams in developing timeseries models and dealing with numerical data. Responsibilities: Implement machine … learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical … predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for medical devices. Ensure compliance with relevant regulatory guidelines and adhere to industry standards and best practices in medical device innovation. Stay updated more »

and deployed. Initially our focus is small scale production. You will be highly proficient in coding in Python and have proven experience in machine learning/deep learning. You’ll have the skills to build scalable ML applications by yourself and deploy these applications in the cloud as … a hybrid working arrangement. What we are looking for: Approx. 3+ years industry experience in software engineering Solid software design principles Understanding of machine learning Knowledge of common software engineering best practices e.g. test-driven development, version control, CI/CD, containerisation Strong Python skills, including production-level experience … Some knowledge of AI and machine learning, with a focus on Generative AI and Large Language Models (LLMs). Experience implementing microservice architectures Experience with at least one common cloud provider (AWS, GCP, Azure) Desirable: Experience in AI-focused software development, especially with LLMs. Comfortable working with classic ML more »

The Machine Learning Engineer will help develop/deploy AI-powered products as we embark on a journey to build a new AI-powered sales advisor. This is a mid level role, requiring at least 2-3 years of experience in relevant roles, and an academic background in computing … responsible for Development of a Conversational Recommendation System which utilises Large Language Models (LLMs) and other NLP technologies Deploying scalable and cost effective machine learning systems Evolving and maintaining our machine learning stack Monitoring and analysing deployed models for performance and costs Making effective use of cloud infrastructure … in our ML stack Skills and experience Familiar with the Python-based data science tech stack Python Docker & Kubernetes AWS Cloud Deep learning frameworks - Pytorch and Tensorflow HuggingFace ecosystem [optional] Other machine learning frameworks - scikit-learn, XGboost, CatBoost etc Ability to understand and develop state-of-the more »

Employer” as part of the Top Employer Institute annual listings. We were assessed on several key HR practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift … used by our customers. Work closely with our Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop …/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience with one or more »

order book, we are looking for 2 graduates in the above disciplines join our team and help drive the adoption of machine vision and deep learning in the manufacturing industry. We are looking for people who have a passion in this area. You will be part of the … you will be able to influence your future development and enjoy Staying up-to-date on industry trends and advances in machine vision and deep learning technology to identify new opportunities for our clients. What will you be doing? You’ll provide creativity and problem-solving skills to more »

order book, we are looking for 2 graduates in the above disciplines join our team and help drive the adoption of machine vision and deep learning in the manufacturing industry. We are looking for people who have a passion in this area. You will be part of the … you will be able to influence your future development and enjoy Staying up-to-date on industry trends and advances in machine vision and deep learning technology to identify new opportunities for our clients. What will you be doing? You’ll provide creativity and problem-solving skills to more »

Science is pivotal to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machine learning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing … rent payment fluctuations. How can we cluster repair jobs to provide root cause insights and next best actions. Building recommendation systems, including testing reinforcement learning approaches, to support optimised rent collection Taking labelled data and supervised learning approaches, to generate optimal contact strategies for multi-channel tenant engagement … folks to work with - though we would say that! What qualifications and experience are we after? Ideally a Masters degree in Data Science, Machine Learning, Artificial Intelligence, or similarly related and quantitative discipline. Merit and above would be great. Circa 5+ years of serious commercial experience working on a more »

Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals. Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering … to extract relevant information for model training.Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.Train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning. Evaluate and validate models using appropriate … metrics and statistical methods, and iteratively refine models based on feedback and insights.Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.Collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference. Continuously monitor and evaluate model performance and more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases more »

Machine Learning Researcher We are partnered with a multi-billion hedge fund, with an active hiring mandate for ML Researchers. This opportunity involves architecting state-of-the-art ML solutions, generating novel algorithmic architecture and applying the latest deep learning techniques to quantitative trade research. Joining a … leading computing tools to apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and publications … proof of concept solutions, running experiments, developing techniques and writing high-quality code to support the research output. Requirements: PhD or masters in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases more »

track record as a senior/self-starting AI engineer in designing and developing solutions for large scale organisations. We are seeking someone with deep technical skills in a variety of technologies, to play an important role in developing and delivering early proofs of concept and production implementation. You … Eligibility required. Qualifications Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, natural language processing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases more »

modelling, management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »

Lead Machine Learning Engineer Up to £115,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work … and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core clients Part of a team of 12 reporting to the Head of Data Science Chance to more »

development process. Requirements: - Strong experience in AI-led projects, preferably within the Defence/Security sector. - Proficiency in AI technologies, for example LLM's, deep learning and natural language processing. - Expertise in programming languages such as Python and Java with a focus on AI application development. - Familiarity with more »

to unlock insights across industries like Finance, Strategy Consulting, and Engineering. 🔍 We are excited to welcome ML Engineers who have worked with: Transformer models Deep learning model implementation ML model deployment at scale Proficiency with ML frameworks Stay updated on the latest in deep learning and more »

to contribute fully to our purpose. Reporting to the VP of Research, you’ll have the opportunity to work with state-of-the-art Deep Learning technology to develop creative solutions to exciting, challenging and industry-defined problems. How you’ll make an impact: Take ownership of research … areas in computer vision, machine learning and biometrics with high degree of autonomy tackling new, as yet, unsolved industry problems Work with our developers to see the products of the research turned into production code Collaborate with the research team on best solutions Communicate research outcomes across the company … quo of the existing solutions You will work with a diverse team of AI and machine vision specialists, applying state-of-the-art Machine Learning and Deep Learning techniques to develop original solutions to world wide problems. We tend to look for people with: A Masters or more »

analytics. The insurance industry is evolving in an age of rapid technological development, and as an organisation Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science Practice – providing … a team helping to formulate problems, extract, and prepare data, apply modelling, and then deploy the solution. Aviva are investing in data science, machine learning and advanced analytics as a distinctive capability. The UK team is recognised as a centre of excellence in our Global Data Science Practice. Join … with a track record of solving complex non-routine problems; along with expertise in some, if not all, of the following areas: Statistics, Machine Learning, Deep Learning & AI You will have significant experience at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering more »

high-risk, high-reward position. It involves a great deal of uncertainty, but for the right candidate, there is a huge upside potential for learning and exposure. If the above excites you, keep reading - we might be a fit! About Bench We’re on a mission to build the … new technologies and operate in highly unpredictable settings. Proven ability to design, develop, and deploy scalable full-stack applications using modern technologies. Expertise in deep learning methodologies, including model development, training, and optimisation using PyTorch and TensorFlow. Strong Candidates May Also Have Experience working with hardware - through a more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment analysis, and … other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full ownership stakes in … together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos for deployment more »

Develop and deploy machine learning models and algorithms to solve complex business problems and optimize processes.Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to understand requirements, gather data, and define project goals. Conduct exploratory data analysis, preprocess and clean data, and perform feature engineering … to extract relevant information for model training.Select appropriate machine learning algorithms and techniques, and develop models that are accurate, robust, and scalable.Train and fine-tune machine learning models using large-scale datasets, and optimize model performance through techniques such as hyperparameter tuning. Evaluate and validate models using appropriate … metrics and statistical methods, and iteratively refine models based on feedback and insights.Deploy machine learning models into production environments, ensuring scalability, reliability, and efficiency.Collaborate with software engineers to integrate machine learning models into software systems and develop APIs for model inference. Continuously monitor and evaluate model performance and more »

Exciting opportunity for a Machine Learning Manager to join an innovative start up who are developing a first of its kind medical device. They are looking for an experience Machine Learning engineer who has lead teams in developing timeseries models and dealing with numerical data. Responsibilities: Implement machine … learning strategies for medical devices, focusing on model development, deployment, and data collection. Guide a team of data analysts and machine learning specialists to ensure the successful execution of AI projects. Collaborate with biomedical engineers, product designers, and other stakeholders to integrate machine learning techniques into medical … predict device-user interactions in the medical device domain. Design and conduct experiments and validation protocols to ensure the accuracy and reliability of machine learning models for medical devices. Ensure compliance with relevant regulatory guidelines and adhere to industry standards and best practices in medical device innovation. Stay updated more »