1 to 25 of 894 Permanent Machine Learning Jobs in England

and the opportunity to learn new skills? This is a great opportunity to join an established software house in Bristol, who work across data, machine learning and AI. The core languages used here will be C++ and Python, but there will be opportunities to work with Perl, Bash … SQL, Docker, Ansible and a small amount of React front-end development. There is also scope to get involved in the development of machine learning models and some Linux administration. They are looking for a Senior Software Engineer with the following skills/experience: Solid back-end development more »

Market ads, eh? In 2020, this 1,000-person consultancy, which covers pensions, football, energy, and insurance, launched a new insurance product that combined machine learning with cutting-edge analytics for the first time. Four years later, companies like Lloyds of London and the Bank of England described … cool projects. The team will grow, and you can shape your career however you like, which could be getting involved on the data science, machine learning and Python side or simply moving up – There are many paths and a key reason why their people often stay there … re driven and analytical and thrive on solving challenging problems. Bonus points if you have strong mathematics skills and interest or experience in Python, machine learning or data science. HOW TO APPLY: Either apply here or search for Simon Monaghan on LinkedIn; contact details are at the top more »

a-day, 365-day-a-year mission. For this reason, it partners with this Big 4 Firm to support its multidisciplinary Data Science and Machine Learning team within DSSV (Data Science, Simulation and Visualisation). The Teams work together to drive innovation and insight from data, using cutting … edge Data Science and Machine Learning techniques alongside Digital Transformation to solve complex problems through AI and Data. The Role: Working closely with senior data scientists, the Consultant's responsibilities span the entire data science lifecycle, from Proof of Concept to fully tested production solutions. Additional duties include … Looking for experience in some of the following: • British Passport Holder with active DV (Developed Vetting Clearance) • Hands-on experience applying data science/machine learning in Defence/Security, public sector, or academia. • Understanding various machine learning models: Transformers, CNNs, regression, vector embeddings. • Ability to 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 … closely 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 more »

Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub … and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML more »

and databases. Perform routine maintenance, debugging, and performance optimisations. Extract features from CAD/CAM software Analyse large manufacturing datasets using statistical techniques and machine learning algorithms. Develop predictive models and optimisation algorithms to maximise business opportunities. Clean, preprocess, and wrangle disparate manufacturing data to ensure accuracy and … undergraduate/Masters/PhD degree. 2 years + experience developing modern, responsive websites using HTML, CSS, and JavaScript. Experience in data analysis and Machine learning libraries. Working knowledge of feature extraction from CAD/CAM software Excellent problem-solving, communication, and teamwork skills. You enjoy working autonomously more »

in the office) Join a dynamic team of talented professionals who are pushing the boundaries! COMPANY PROFILE Through the power of Data Science and machine learning, Our client leverages data and delivers at a rapid speed! As they strive for unprecedented growth, they seek an ambitious Lead Data … of forecasting systems and contributing to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in more »

London.) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit … supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. … preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »

the management team. Contribute to training initiatives to foster a data-driven culture Qualifications & Experience Required PhD in Computational Biology/Computer Science/Machine Learning/Statistics with relevant experience in transcriptomics analysis. Experience with experimental design, exploratory data analysis, reporting and visualisation of data. Experience with … lncRNAs) Experience in building and deploying pipelines (e.g. Nextflow) for data science Skills & Competencies Required Deep understanding of human biology beyond the statistical/ML models being developed Good knowledge with rapidly prototyping, writing and maintaining Python and/or R code, harnessing statistical tools for biological interpretations. Desirable Familiarity more »

product strategy and direction. You will have the opportunity to help shape an industry leading product that predicts revenue growth using data science/ML & AI to identify organisations highest value customers and how to retain and maximise revenue. You will be in an incredibly fast paced area of the more »

models: you have an expert knowledge of the different delivery and deployment methodologies for data teams, such as agile data product development, AI/ML Ops and Analytics Ops, adapting these methodologies to our clients’ objectives and organisational structure. understanding of business architecture : you understand and can articulate the importance more »

including Multi-skilled Software Engineering, Cloud Engineering & Security, UX, Site Reliability Engineering, Front-End design, Agile, Solution Architecture, RF Software Engineering, Data Engineering, and Machine Learning Operations. Software Engineers Using various methods, languages and frameworks, you’ll collaborate with a variety of teams to deliver solutions to real more »

with these conditions. The Role: They're developing a cloud platform that empowers clients to upload, organize, and analyse their data with cutting-edge machine learning. Your role will be crucial in securely deploying and managing this platform using infrastructure as code (IaC) practices. You'll also ensure robust 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 … for 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 more »

demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machine learning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machine learning models in Python, ensuring more »

the expedition of their new product launch. They offer a fantastic progression plan and brilliant training. They are currently researching the benefits of AI & ML in the Finance sector and plan to start work commercially later in 2024. Could you be the one implementing AI in the Fintech space? You more »

Innovation Product Owner/Product Manager (Data) - Tech Scale Up - London Join the forefront of data innovation! Our client, a leading figure in the realm of data, is on the hunt for a dynamic Product Manager/Product Owner with more »

is delivered in the most appropriate manner, considering look and feel, and the most appropriate technology to meet the requirement. Ensure any AI or Machine Learning in SAP is delivered in the most appropriate manner for the requirements. Any code is written in line with standards and security more »

a consulting or professional services environment. Deep expertise in enterprise architecture frameworks, cloud computing, microservices architecture, and emerging technologies such as artificial intelligence and machine learning. Strong communication and stakeholder management skills, with the ability to influence and collaborate effectively across all levels of the organization. Strategic thinker with more »

roadmap ✔ Help build out a suite of new conversational AI products ✔ Work for hyper passionate and mission-driven team I’m looking for an ML Engineer to work for a startup doing some truly meaningful work in the women’s health space. You don’t need to be a woman … in July. As such, we’re working with a streamlined two-stage interview process. 👌 If you’re a highly compassionate, empathetic and mission-oriented ML Engineer, reach out to Jamie Forgan at SR2. more »

the Head of Trading to research alpha, and portfolio construction, in various arbitrage strategies in systematic Options. Assist in designing and developing alpha and machine learning strategies. Excellent PnL split, working within top performing team. Skills Required: Experience as a quant trader working on strategies in a systematic more »

strategic and operational goals. The bank is committed to providing an environment that is conducive for effective performance by availing all staff the necessary learning opportunity. We value the well-being of our staff and we encourage them to strike a balance between their work and personal lives, thereby … various coding languages including Java, C++, PHP, SQL, and other object-oriented programming languages. Understanding of workflow-based logic. Knowledge of artificial intelligence and machine learning. Strong attention to detail and analytical skills. Excellent time and project management skills. Excellent problem solving/analytical skills and complex troubleshooting methods. more »

generation platform. A small, dynamic team in London is revolutionizing the music industry by creating fresh and captivating songs across various genres. As a Machine Learning Engineer, you'll dive into the heart of this groundbreaking project, working on the designing and implementing of Data Pipelines, research, finetuning … possibilities as the platform extends to the Web (WASM), Android, iOS, and even virtual reality! If your passion for music harmonizes perfectly with your Machine Learning skills, this opportunity is tailor-made for you! Don't miss out on this thrilling adventure. Apply and shape the future of … in handling audio data and expertise in digital signal processing Data pipeline development skills : background in building data collection and processing pipelines Python and ML Framework Proficiency : 1+ years of hands-on experience with Python and modern ML frameworks Desirables: Experience with generative AI models : Diffusion models, GANs, VAEs, Transformers more »

Data Scientist Salary: Up to £70,000 LONDON Join a dynamic team of Data Scientists! COMPANY PROFILE Through the power of Data Science/machine learning, our client leverages data and delivers at a rapid speed! Their collaboration with top-tier companies validates our competitive advantage, which stems … of forecasting systems and contributing to the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in more »

office) Xcede are delighted to be working with a well-renowned insurance company based in Hertfordshire. The company have an excellent Data Science and Machine Learning unit … supported by a group of Data Engineers who are responsible for Data Pipelines. As a bonus - Data Engineers are also able to help with ML model deployment and MLOps. Responsibilities Design and implement both Data Pipelines for both structured and unstructured data. Support and improve ML infrastructure – particularly Azure ML. … preferably Azure) environment TDD & CI/CD experience Containerisation experience (Docker, Kubernetes, etc.) MongoDB (or NoSQL) experience Terraform experience Previous experience in managing the ML lifecycle with MLFlow more »