1 to 25 of 57 Permanent Machine Learning Jobs in the South East with Remote Work Options

Job DescriptionMachine Learning Engineer- Fully Remote £700-£800 pd via UmbrellaInitially for 6 monthsGlobal Ecommerce business is looking to recruit a Machine Learning Engineer to work on greenfield projects and AI products. Role:The Machine Learning Engineer will play a crucial role in the development … and implementation of state-of-the-art machine learning models and AI algorithmsThis is a hands-on engineering role where you will spend the majority of your time writing code in Python to design, build, and deploy machine learning solutions.Experience/skills:Proven experience working as … a Machine Learning Engineer or similar role, with a strong emphasis on engineeringProficiency in Python programming and experience with relevant libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, etc.Extensive experience of deploying a cloud platform (GCP, AWS or Azure)Strong proficiency in NumPy for numerical computing and more »

role will entail: * Gathering and manipulating disparate data, applying analytical techniques and visualising results. * Application of various tools, data mining, statistical techniques, algorithms and machine learning principles to identify trends, patterns and insights from raw data. * Extracting meaning from data, uncovering insights and identifying opportunities to inform business … in data sets.Main Skill-Set We are looking for a good mix of the below skills, (not necessarily all of the below): * AI/Machine learning techniques - such as logistic regression, clustering, data modelling * Statistic modelling * Coding - R, Python, SQL * Creating data architectures * Data visualisation experience - Tableau, PBI … is essential you have the following: * 3+ years' experience as a Data Scientist * Excellent communication: clear, concise & articulate. * Passion for Data, Analytics, AI and Machine LearningBenefits PackageYou will be awarded the following benefits package: * Base Salary - From 60,000 to 65,000 per annum (may stretch to more »

have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be the accountable person for Data as a Product at GRIDSERVE and own the product … Architect ensuring that the Product Roadmap aligns with the Data Platform Roadmap and evolution, influencing the product roadmap as new platform capabilities such as machine learning and artificial intelligence are introduced Develop the product catalogue, roadmap, backlog, and sprint planning while utilizing scrum, agile, and DevOps methodologies. Demonstrate … to non-Azure technologies and familiar with the strengths and weaknesses of a spectrum of BigData and Streaming technologies. Experience with Data Science and ML teams. Experience with the Azure cloud-based data frameworks Experience of cloud based data warehouses. Required qualifications and certifications Microsoft Dynamics Certifications or other relevant more »

business areas and stakeholders. The role will also involve partnering with scientists, building forward-looking data experimentation, predictive modelling, and machine learning (ML) algorithmsKey Skills:AWS solutions like EC2, DynamoDB, S3, and RedshiftAnalysing data with Redshift, Oracle, NoSQL etcData visualization with Tableau, Quicksight, or similarDatamodelling, warehousing and building more »

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 th... more »

as measuring benefit via A/B testing What you'll do: Collaborate with business partners to enhance processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Uphold and improve standards for code quality, R&D, and model development. Collaborate with DevOps … and Data Engineers to deploy ML models on AWS. Provide mentorship to peers and partners on potential actions and impacts. Develop Python code adhering to standard processes, CI/CD, and test coverage. Qualifications We strongly encourage anyone with the below to apply: You are a self-starter with experience … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them more »

in system architecture and making technical decisions.Some exposure to AWS (or other cloud platform) and best practices like EC2, S3, auto-scaling, security.Passion for learning and problem solving.At least one of the following: Working on an AI driven product. Used to working closely with data scientists or machine learning engineers, understanding some of the concepts and terminology.Experience contributing to data-dense products with complex, scaling architectural needs.Demonstrated passion for open-source software.Our ideal candidate will champion engineering excellence, open source, and delightful user experiences.We are looking for candidates with significant experience in highly collaborative cross-functional 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 deliver more »

work and their vision. The following are some nice to haves but not essential:of 3D geometry, computer graphics and 3D computer vision techniques.of ML methods and building physics.deploying and managing runtime environments in GCP.You'll get a salary of up to £65,000 for this role (with some movement … on building some fairly simple algorithms before moving into heavy machine learning in the long term (though they’re not looking for ML engineers at the moment). Across their engineering team, they value people who can work autonomously and possess strong algorithm experience, from development to production more »

testingSkills and Experience – Nice to Haves· Experience in site reliability engineering· Experience with event-driven systems· Experience in building web services on AI/ML modelsPlease send your CV to chris.shephard@areti.io or DM me for more information on the role. There is a quick 2 stage interview process and 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 »

Full-timeSalary: £80,000 per annumRole Overview:We are on the lookout for an AI Specialist Developer with a deep understanding of C++, Python, Machine Learning, Large Language Models (LLM), and Audio AI. Your primary role will be to enhance our existing Music Recognition Technology (MRT) using our advanced ML testing systems. Additionally, you will lead the groundbreaking project focused on developing live-music recognition technology.Key Responsibilities:Lead the enhancement of our current MRT technology … integrating AI capabilities to improve accuracy and efficiency.Utilise expertise in C++, Python, ML, LLM, and Audio AI to innovate and implement new features.Drive the research and development project aimed at creating state-of-the-art live-music recognition technology.Collaborate with cross-functional teams to ensure the successful integration of AI more »

reporting Opportunity to contribute to new business pitches as well as existingWhat we'd love to see:Strong working Python and SQL proficiency Extensive Machine Learning experience for example for forecasting, predictive performance analysis, optimisation Cloud platform experience (AWS) The business operate on a hybrid working model and more »

ensure high-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, and more »

and explaining them to others.If you've worked with big affiliate publishing platforms, know about AWS Cloud, or are familiar with data meshes and machine learning.The CompanyAn established online and media company is creating products and content that engage with over 100 million people across their sector. They have more »

Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire more »

the opportunity to stamp their identity over an already great product portfolio. Equally, the organisation is a huge advocate for change - think AI/ML for example.3 stage process - rough turnaround time is 12 days. Please get in touch for more information.*No sponsorship is available for this role unfortunately more »

get to expand your network while working with cutting-edge tools in the market including TensorFlow, LangChain, LlamaIndex, and working on the development of ML, NLP and GenAI solutions.The role is hybrid, based in central London (max 1-hour commute) and it is offering up to £110,000 + bonus more »

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 »

of the ecosystem lives in web development, cloud architecture, backend development and data analysis, while exploratory work is being conducted in the realm of machine vision. As a Senior Embedded Software Engineer, you will be working on all aspects of the project. The right candidate will learn rapidly, push … Desirable: • C/C++, C#, Python, Bash, DeviceTree. • Docker, Blazor, OpenCV, RabbitMQ, MongoDB, Grafana, OpenAPI, Torizon, Yocto. • “Hardware-In-The-Loop” CI/CD. • Machine vision and/or machine learning. • Kernel space development. • Hardware design experience. • Experience implementing complex algorithms in embedded devices. • Experience with coding standards … candidate with extremely well matched skills & experience. Workplace Pension Scheme with matched employer contributions. Life Assurance scheme. Cycle to Work Scheme. Tech Purchase Scheme. Learning & Development scheme including a variety of training courses. Flexible working hours. If you wish to showcase project(s) through a GitHub repository please provide more »

attention to detail Strong communication and teamwork skills Desirable Skills and Experience: Experience with other programming languages such as C++ or Java Familiarity with machine learning and artificial intelligence techniques Experience with simulation tools such as Simulink or Xilinx System Generator Knowledge of radar signal processing techniques Benefits 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 … business requirements and the type of attention to detail that ensures thoroughness in product deployments. Responsibilities and expertise will be in the field of ML and AI model deployment, monitoring, integration across the tech stack and making best use of data-focussed compute resources. Diversity is incredibly important to us. … 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 more »

re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these … more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »

on various models across Pricing, Fraud and Claims. What you'll do: Collaborate with business partners to improve processes using new data and sophisticated ML techniques. Manage projects from inception to deployment, including benefit assessment. Collaborate with DevOps and Data Engineers to deploy ML models on AWS. Develop Python code … or equivalent a numerate subject: Machine Learning, Computer Science, Statistics, or similar Demonstrable experience of applying, researching, and developing sophisticated statistical/ML methods to drive value in a commercial setting, Ability to deliver projects on time, taking project briefs and refining them to strong results. Exposure to … BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why choose us? This is your opportunity to be at the forefront of our game-changing more »

as technical knowledge of relational databases and data modelling. Power Bi skills are essential, but additional technical skills such as SQL, Python, Statistics or Machine Learning would be very useful. Additional Requirements: Candidates must have an existing right to live and work in the UK. If this sounds more »