14 of 14 Machine Learning Jobs in Buckinghamshire

urgently need a Machine Learning Engineer to help bolster their team. This role would suit a Machine Learning Engineer who is already confident working in ML environments, especially with NLP tools. This role is remote within the UK. Their office is based in Milton Keynes - you may need to visit the office on rare occasions. To … be a successful, the ideal Machine Learning Engineer candidate will have: Highly skilled in Python. Knowledge of AWS or GCP. Ideally experience of SKLearn/Docker/MLFlow or PyTest Excellent communication and problem solving skills. What is in it for you? As a talented Machine Learning Engineer you can expect: Great salary - Up to … base and Package (neg for the right person) If you are an ambitious Machine Learning Engineer hit apply and we will do the rest. Please apply with your CV and we will be in touch for a confidential chat. Noa Recruitment specialise in helping Software and Web Professionals and technical talent find great careers. If this role doesn More ❯

Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version Control & DevOps : Git, Azure DevOps, GitHub Actions What We're Looking For Essential 2+ years' experience in a BI, data … fast-paced, client-facing environment Desirable Experience in a consultancy or agency environment Python for data wrangling or basic machine learning use cases Familiarity with AI/ML concepts (classification, regression, clustering, NLP) Exposure to dbt or other data transformation tools Experience with A/B testing, segmentation analysis, or forecasting models Knowledge of marketing or sales analytics More ❯

parsing pipelines, validations, and rule Python Proficiency: Strong coding skills using libraries like pandas, NumPy, scikit-learn, PyTorch, and Hugging Face Transformers. Writing clean, modular, and testable code. Traditional Machine Learning Models: Experience with regression (linear, ridge), classification (logistic regression, decision trees, random forests), clustering (k-means, DBSCAN), and time-series forecasting (ARIMA, Prophet). Model evaluation, tuning More ❯

Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible If you are a skilled Data Systems Engineer with the required More ❯

Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana, or ELK for data infrastructure. Understanding of ML algorithms, their development and implementation Confidence developing end-to-end solutions Experience with infrastructure as code e.g. Terraform, Ansible If you are a skilled Data Systems Engineer with the required More ❯

the research service and deploy to the production service. Manage the lifecycle of multiple cloud environments with extensions to on-premise high performance computing facilities that run AI/ML models (e.g., implement health monitoring and alerting). Advocate DevOps principles and coach product teams, which will extend to AI/MLOps. Provide environmental support and training to delivery teams 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 ❯

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 ❯

of client experience, of communication You’re curious, switched-on, and thrive when given ownership Proactively identify and build relationships with scaling tech companies in need of AI/ML/data engineering hires Participate in (and eventually lead) discovery calls, proposals, and pitch conversations with new clients Work closely with leadership to help grow Inara’s client base and More ❯

and driving sales growth. Responsibilities Data modelling Data extraction and mapping Requirements clarification Documentation Customer communications Skills Must have Data Modelling Automation GIS experience Nice to have Azure storage Machine learning Python More ❯

an established and rapidly growing Technology company who are looking for a technical Product Owner to join them on a permanent basis They have created an advanced AI/ML data platform that integrates into Casino and Sports betting brands. It is a search and comparison engine that can help users to make better choices and informed decisions. In this More ❯

bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You More ❯

bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You More ❯

Technology Recruitment Consultant (AI | ML | Data Engineering) Location: Hybrid (Marlow, Buckinghamshire) | Full-time Salary: £25,000 - £32,000 DOE Commission: up to 40% About Inara At Inara, we partner with some of the most exciting companies in tech, from start-ups all the way to global giants. We enjoy nothing more than partnering with the companies reimagining how industries operate … the teams that shape products, scale platforms, and drive technical breakthroughs. The Role We’re now hiring a Technology Recruitment Consultant to help us meet growing demand across AI, ML, and data engineering. You’ll be working on roles that span from data platform engineers building high-throughput pipelines and analytics infrastructure, to ML engineers designing GenAI systems from the … hires that genuinely change the trajectory of their company. You’ll be hands-on, end-to-end, and outcome-driven: Partner with clients to deeply understand roles in AI, ML, data, infra and engineering Write world-class outreach that resonates with highly technical candidates Source and engage candidates from active and passive networks Run structured, efficient hiring processes that uphold More ❯