76 to 100 of 404 Permanent Machine Learning Jobs with Hybrid or WFH Options

with a variety of data sources, including CCTV cameras, IoT sensors, and third-party feeds, to aggregate and analyse real-time data. AI and Machine Learning Models: Train and fine-tune AI and machine learning models to improve the accuracy and efficiency of the platform’s … Background : Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field with a focus on computer vision, AI, or machine learning. Experience: Proven experience in developing and deploying computer vision solutions in a commercial setting. Programming Skills: Proficiency in programming languages such as Python … like OpenCV, TensorFlow, or PyTorch. Algorithm Development : Strong skills in developing and optimising computer vision algorithms for object detection, tracking, segmentation, and classification . Machine Learning : Solid understanding of machine learning principles and experience in training and fine-tuning models for computer vision tasks. Data Handling more »

projects alone or with other data scientists, using analytical tools and environments to develop and deliver data science products including processing pipelines, interactive dashboards, machine learning models, as well as carrying out statistical analysis and deriving valuable insight. You will get the opportunity to work closely with customers … and business experts to scope and design the most effective and appropriate offers to solve their problems. Current and past tasks range from using machine learning to extract causality for road collision severity, to visualising and mapping insights; using computer vision AI techniques to extract information from raster … communication skills with the ability to tell compelling stories and adjust style to suit clients/stakeholders with varied technical knowledge A passion for learning new technologies and an interest in the Transportation, Environment or Energy sectors Bachelor’s degree in Computer Science, Applied Mathematics, Statistics, Engineering, or related more »

Senior Data Scientist – Media - (90% remote) - £90k Are you a pro at building and deploying ML models? Are you tired of just tinkering with the latest tech without actually making a real impact on business problems? Maybe you'd like to join our team of 50 like-minded ML scientists … with zero red tape to create practical solutions that actually work. We’re looking for a Senior Data Scientist who has experience in developing Machine Learning models, evaluating and choosing the tools and technologies and driving projects. Who are we? We’re one of the UK’s largest … to real world problems. You’ll be able to identify opportunities in data, have experience reviewing code for junior colleagues, worked with Data Engineering, Machine Learning and non technical stakeholders. You’ll be comfortable assessing and determining how to optimize processes. What skills should I have? As our more »

software development teams, and hands on development within a fast-paced, dynamic environment. This role will involve working with AI so an interest in learning Generative AI and Machine Learning is a must. As a result of their hard work, our client has received several award nominations … Previous experience leading the delivery of innovative products or software solutions Strong experience with agile ways of working Strong understanding of Generative AI and Machine Learning and a passion for keeping up with the latest revelations in tech This is a hybrid working opportunity out of their Leeds more »

We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … an office based in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team … Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machine learning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or AWS) familiarity with web development (Fast more »

opportunity for someone to enhance their I&D Consulting career. What will you be doing Design and implement robust conversational AI models using AWS ML services including Amazon Lex and Amazon Comprehend Develop and refine custom NLP models to enhance understanding generation and translation of human language in a variety … XML IVRs Jenkins other Cloud Platforms Skills that will help you in the role Some experience in applying a wide range of statistical and machine learning techniques e g hypothesis testing regression clustering decision trees machine learning models Experience of data driven storytelling Proven ability to … explain data analysis insights and capabilities to audiences with differing technical backgrounds Concepts of Deep Learning Knowledge of Devops Jenkins Kubernetes SonarQube Veracode CheckMarx Maven Gradle etc Knowledge of tools like JIRA Agile Central Service First etc About Capgemini Capgemini is a global business and technology transformation partner, helping more »

We are seeking a Deep Learning Quantitative Researcher to join one of our systematic client remotely. In this role, you will be at the forefront of developing and implementing advanced deep learning models to drive investment strategies and enhance our quantitative research capabilities. Responsibilities: Conduct research and develop … deep learning models for predicting financial markets, including but not limited to time series forecasting, natural language processing (NLP), and image analysis. Collaborate with portfolio managers and traders to identify alpha-generating strategies and optimize trading algorithms. Stay abreast of the latest developments in deep learning, machine learning, and quantitative finance research, and apply cutting-edge techniques to solve complex financial problems. Analyze large datasets to extract meaningful insights and identify patterns that can be used to inform trading decisions. Work closely with our technology and data engineering teams to deploy and integrate deep learning more »

client needs. Lead the design, development, and deployment of data management frameworks, policies, and best practices. Oversee the integration of data analytics, AI, and machine learning into client solutions. Collaborate with cross-functional teams to drive data innovation and identify new business opportunities. Ensure data governance, compliance, and … experience in data science, analytics, and/or business consulting. Strong understanding of data management principles, data governance, and regulatory requirements. Expertise in AI, machine learning, and advanced analytics. Excellent strategic thinking, problem-solving, and decision-making skills. Strong leadership and team-building abilities. Exceptional communication and interpersonal more »

Title: Senior Software Engineer Package: Up to £0,000 + benefits Location: Hybrid (London, UK) Is this your next move? Building machine learning products used by blue chip companies worldwide. Working in a scale-up environment surrounded by like-minded and passionate engineers. Shipping software products into a … long untouched industry. SoCode Recruitment is hiring on behalf of one of their reputable clients. Our client is a machine learning company operating within the legal sector who are looking to scale massively throughout 2024 and into 2025. They have a well-regarded product in the market and … to also take ownership of decisions. Responsibilities: Take the lead on engineering initiatives. Mentor other engineers in software development and promote an environment for learning and growth. Collaborate with cross-functional teams to define technical requirements and system architecture. Drive the adoption of best practices in coding, testing, and more »

the firm's expansion into the HFT space. Key Responsibilities: Develop and maintain automated futures and broader market forecasting strategies. Implement advanced statistical and machine learning techniques to identify alpha signals. Engage in the entire research cycle, including data gathering, idea generation, signal implementation, back-testing, and post … particularly in high-frequency futures (equity or FI). Proficiency in programming languages such as Python, C++, or Java. Strong expertise in statistical analysis, machine learning, and data mining. Excellent problem-solving skills and the ability to think creatively and strategically. Effective communication skills and the ability to more »

Direction : Define the technical direction of the systems and tools utilised by the team, particularly as we advance towards leveraging Machine Learning (ML) and Artificial Intelligence (AI) technologies. Required Experience: To excel in this role, you should have demonstrable experience with the following: Snowflake : Proficiency in Snowflake, including more »

Pipelines: Deploy & manage NLP models (fraud detection, risk assessment) with a focus on NER. Leverage CI/CD & containers for seamless integration & scalability. Automate ML Workflows: Build robust MLOps pipelines to automate data ingestion, pre-processing, model training & serving for efficient NLP workflows. Champion NLP Expertise: Collaborate with data science … into operational considerations, & champion continuous improvement of NLP models. We're Looking For: Proven experience building and deploying NLP models, strong grasp of statistics, ML techniques, and proficiency in Python. MLOps & Cloud Infrastructure: A strong understanding of CI/CD pipelines, containerisation technologies (Docker, Kubernetes), and cloud platforms (AWS, Azure … GCP). Degree in Computer Science, Machine Learning, or related field (preferred), proficiency in Python and TDD practices, and a proactive learning mindset. If this sounds like you and you'd like to find out more, apply below with your up-to-date CV, or reach out more »

development and operations of their automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines that incorporate advanced ML components and thrives in a dynamic, agile environment. Key Responsibilities - Automated Ingestion System Development: Be a key player in the design, development, and maintenance of … sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable. - ML Component Integration: Integrate advanced machine learning components into data pipelines to enhance data processing and analysis capabilities. - Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and ensure the integrity and … engineering to continually enhance their systems and processes. Qualifications - Experience: At least 3 years of experience in developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills Strong more »

working with others. Desirable Bachelor’s degree in Mathematics, Computer Science, Computer Engineering, Statistics, or relevant field DP-100, DP-203, DA-100, AZ305 Machine Learning and statistical modelling experience Comprehensive knowledge of the Visual Studio development/SQL Management Studio environments What we offer Competitive salary Great … learning and development plan Microsoft certifications paid for and supported by Mercury Permanent Health Insurance (PHI) Health Cash Plan Critical Illness Cover Electric Car Vehicle Scheme 4% Employer Pension Contribution 25 days holiday per year 1 full extra day “free holiday” on your Birthday Free parking Buy/sell more »

team. As a Data Engineer and working closely with technical specialists such as Product Owners, Business Analysts, Delivery Managers, Software Engineers, Data Scientists and Machine Learning Engineers, you’ll build and run secure data applications and data products. You’ll promote Agile technical practises, using Agile methodologies to more »

Senior Product Manager – for Data Science/ML Scale up In Renewables & Environmental Tech Full Remote – UK based - £85,000 to 100K + benefits + share options My client is looking for a Data/ML/AI Product Manager with a Computer Science Degree background/masters/PHD … ecology and sales colleagues Working cadence and collaboration across all teams when necessary Requirements Demonstrable extensive product management experience across full-lifecycle Strong Data & ML product development and product management and how to help build new products, create innovation and solutions alongside the R&D group. Come with strong product … analytics and also some experience creating business plans and financial forecasts to evaluate product trade offs and (Benefit/Analysis) Ideally come from a Machine learning or data science Product background and some Ecology/Biodiversity, geo-spatial experience would be nice to have or even some c more »

and growing AdTech company as they expand into European markets (they dominate the UK market with a 90% market share) with their AI and Machine Learning driven SaaS platform that enables advert scheduling and bid optimisation. As a Lead Full Stack Developer you will collaborate with the Head … focused You are degree educated; Computer Science preferred What's in it for you: Salary to £100k Pension Health Insurance 25 days holiday Continual learning and career development opportunities Apply now to find out more about this Lead Full Stack Developer (C# React) opportunity. At Client Server we believe more »

ideally Windows Azure Bachelor's degree or equivalent experience in Computer Science or related field Desirable Skills or Exposure AI and Large Language Models Machine Learning Big Data The Package Salary £55-65K per annum (depending on experience). Remote & Physical Office (usually 1 day per week more »

end development and deployment. • Experience in technologies such as Unity, WebGL, Three.js, and Flask. • Coding skills in JS, Rust, Python, C#. • Experience in deploying ML models. more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

approach. Operating from 26 locations across the world, we bring together teams of creative experts with diverse backgrounds and experiences, who enjoy working and learning in our collaborative and open culture and are committed to world-class delivery. We want to continue to grow our team with people just … work with clients across all aspects of deriving value from data: from technical implementations like modern data warehousing; through to massively scalable analytics and ML solutions. We help our customers embrace a DataOps culture. We are advocates of Agile methodologies and believe in constant delivery of business value. Our projects … manifest both on-premise or in cloud, often driving business intelligence and machine learning capabilities, helping customers achieve their Data as a Service ambitions. As a technical authority, you will interface directly with customers representing BJSS’ deep technical expertise. You will lead delivery teams by example, providing the more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

quality outputs. Requirements: Qualifications & Key Skills: Proficient in Python with a solid understanding of design patterns, algorithms, and efficient coding practices. Strong background in machine learning engineering, including data preparation, feature engineering, model training, evaluation, and deployment. Experience with LLMs for tasks such as response generation, function calling more »

development, and QA, to deliver superior software solutions. Skills Required: In depth experience designing & building backend applications in Python. Familiarity with Big Data and Machine Learning technologies (NumPy, PyTorch, TensorFlow, Spark). Experience developing in a highly Agile/Scrum environment. Familiarity with CICD, containerisation, deployment technologies & cloud more »