13 of 13 Permanent Machine Learning Jobs in Kent

Graduate Data Scientist Must have 2:1 or higher in Computer Science, Data Science, AI degree, or related field.Must have covered Machine learning and AI within degree. West Malling - £30,000 – INTERVIEWING NOW FOR IMMEDIATE START! Join a well-established and expanding team within the financial services industry and apply your data science expertise in a real-world … to make a swift contribution by crafting and implementing sophisticated models that shape key organisational strategies. Your Responsibilities Will Include: Designing and maintaining reliable, well-structured data workflows Creating machine learning solutions to assist with strategic choices Investigating the use of AI to enhance operational performance Partnering with data professionals on one-off analytical initiatives Communicating findings clearly … business stakeholders Ideal Candidate Profile: A 2:1 degree or higher in Computer Science, Artificial Intelligence, Data Science, or a closely related discipline Strong grasp of statistical methods and machine learning techniques Confident in using Python and SQL for data tasks Inquisitive, self-driven, and eager to tackle challenges proactively Effective communicator and enthusiastic team player Additional Assets More ❯

commercial teams on new product launches, implementing A/B testing, identifying process improvements, and contributing to the future of pricing automation through emerging technologies such as AI and machine learning. What we’re looking for - • Strong analytical thinker with a commercial edge• Confidence working with SQL, Excel/Google Sheets, and visualisation tools (Power BI, Tableau, etc.)• Previous More ❯

and PHD in a related field and an enviable track record working with several modalities including genomics (WES, SNPs, transcriptomics), EHRs, and/or medical imaging. Your experience with machine learning and deep learning frameworks, development of API's and dashboards alongside proficiency in programming skills, will stand you out from your peers. For all our roles More ❯

in a pricing or actuarial role in general insurance Hands-on experience with Earnix or Radar Proficient in Python or R for data analysis and modelling Experience applying advanced machine learning to pricing Strong communication skills to explain technical ideas to non-technical audiences Proven commercial impact from pricing or R&D projects People leadership and mentoring experience More ❯

understanding of programming languages whilst being an analytical thinker. Key Responsibilities: Work alongside the rest of the data team to build clean and robust data pipelines Develop and test machine learning models to assist in making business decisions Carry out adhoc data requests when required Organise the data and model outputs in a format that is readable and … background with a knowledge of key statistical principles – eg Bayesian and frequentist statistics Experience with multiple programming languages including SQL and Python Familiarity with large language models Understanding of ML algorithms This is an excellent opportunity for a Computer Science Graduate to join a thriving business as a Graduate Data Scientist who are leaders within the Financial Services industry. CVs More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

Data Science). With an enviable track record of relational database design and implementation (you will be responsible for building a health informatics/bioinformatics platform) alongside proficiency in machine learning and AI, your experiences will stand you out from your peers. For all our roles we are searching for those who will be passionate about contributing to More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

Continuous improvement across the team and wider organisation. Supporting the user acceptance testing process to make sure that implementation meets the needs of the customers. Collaborating with data scientists, machine learning engineers, and AI specialists to define AI-driven solutions that align with business needs. Gathering and analysing requirements for AI-powered features Understanding AI model lifecycle management More ❯

legal, regulatory, and ethical implications of AI and advanced technologies, helping them navigate a rapidly evolving legal landscape. Key Responsibilities: Advise on legal and regulatory issues related to AI, machine learning, data protection, and algorithmic decision-making Draft and negotiate technology contracts, including SaaS agreements, licensing, and data-sharing arrangements Provide strategic guidance on AI governance, compliance, and More ❯