20 of 20 Machine Learning Jobs in Birmingham

Software Engineer – AI and Data, Permanent – West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting … team looking to scale their AI development capability. I seek a creative Software Engineer with a passion for AI and Machine Learning who has is a team player, and has the attitude to grow as a developer to support this client on their AI journey. Working ...

Software Engineer AI and Data, Permanent West Midlands. Artificial Intelligence, AI, Machine Learning, ML, MLOps, LLM, Statistical Analysis, Software, Python, Data, Prompt Engineering. Due to continued growth and investment in Tech, this leading edge organisation is looking to the market for an AI Developer to join an exciting … team looking to scale their AI development capability. I seek a creative Software Engineer with a passion for AI and Machine Learning who has is a team player, and has the attitude to grow as a developer to support this client on their AI journey. Working ...

trends, and anomalies. Develop, monitor, and report on key fraud metrics, presenting insights and recommendations to senior stakeholders. Design and implement data models and machine learning scoring models to enhance predictive insights and detection accuracy. Optimise and fine-tune Financial Crime system rule sets in line with risk … Server, Oracle, SAS, or Access. Familiarity with data visualisation tools (e.g. Power BI, Tableau) for insight generation and reporting. Knowledge of AI and machine learning models for risk scoring and predictive analytics. Experience with Financial Crime platforms such as ACI PRM (Proactive Risk Manager), SIRA, SONAR, ThreatMetrix, Mitek ...

This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal … tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science ...

. Working on Software solutions with a technical stack around ,C# .NET, Python, SQL, APIs, Azure, Power Platform and SaaS/PaaS AI/ML experience: Not required but significant differentiator Must demonstrate understanding of AI principles and risks Generative AI heavily used in prototyping Experience of taking new business ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

/ML Engineer – Consumer Analytics We are seeking an AI/ML Engineer with a strong statistical background and hands-on experience in signal engineering and interpretation to support next best offer (NBO) and personalization use cases in the consumer industry. The role focuses on translating complex customer signals into … alignment with business and regulatory expectations Required Skills & Experience Strong foundation in statistics, probability, and experimental design Hands-on experience in AI/ML model development (e.g., classification, propensity, uplift, recommendation models) Proven experience in signal engineering, feature creation, and interpretation for consumer analytics use cases Proficiency in Python ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

about internal and external customer needs to reimagine customer interactions What you’ll bring Proven experience identifying business opportunities and translating them into Data, Machine Learning and AI products in the technology or digital arenas. A track record of thought leadership and delivery across complex products or platform ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

data protection regulations (e.g., GDPR) Support ethical use of AI, ensuring fairness and transparency in systems EXPERIENCE REQUIRED: Technical Skills Basic understanding of AI, machine learning, or automation concepts Familiarity with tools such as Python, Power BI, or automation platforms (e.g., Zapier, UiPath) is a plus Understanding ...

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 ...

people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved ...

rather than maintain legacy platforms, this role offers exactly that. THE COMPANY They are a young, fast-growing consultancy focused on data engineering and machine learning. Backed by a clear vision and strong funding runway, they partner with organisations to modernise manual, fragmented data processes. Their work spans industries … Kinesis. Transformation experience using dbt, Spark or Databricks. Confidence working directly with clients and engaging in technical discussions. Exposure to dashboards, analytics, ML or LLM concepts is beneficial, but not essential. BENEFITS The successful Principal Data Engineer will receive the following benefits: Salary between £80,000 - £90,000 - depending ...

collaborative, remote-first environment where you can take real ownership, influence architectural decisions, and play a key role in developing next-generation data and ML pipelines. THE COMPANY: They are a specialist AdTech organisation focused on advanced data analysis and audience insight. Their platform processes billions of data points … Engineer, you will Build and enhance distributed data pipelines capable of handling huge-scale datasets. Develop and maintain the data architecture that underpins their ML and AI workflows. Work across Python or Go Improve data marts and ensure data integrity across the platform. Work closely with engineering and data science ...

strategic bids (cloud, data, AI, automation). Translate business and outcome requirements into clear, integrated technical blueprints. Define architecture vision across AI/ML platforms, analytics, automation, integration and security. Balance innovation with cost, risk, and delivery feasibility. Bid & Pursuit Engagement Act as the technical design authority across bid cycles. … into mobilisation teams post-award, ensuring architecture continuity. Required Skills & Experience 10+ years designing large-scale digital transformation solutions. Deep knowledge of AI/ML , data platforms, analytics, automation and cloud architectures. Strong experience with AWS/Azure , APIs, microservices, integration and event-driven systems. Proven track record leading solution ...

strategic bids (cloud, data, AI, automation). Translate business and outcome requirements into clear, integrated technical blueprints. Define architecture vision across AI/ML platforms, analytics, automation, integration and security. Balance innovation with cost, risk, and delivery feasibility. Bid & Pursuit Engagement Act as the technical design authority across bid cycles. … into mobilisation teams post-award, ensuring architecture continuity. Required Skills & Experience Proven experience designing large-scale digital transformation solutions. Deep knowledge of AI/ML , data platforms, analytics, automation and cloud architectures. Strong experience with AWS/Azure , APIs, microservices, integration and event-driven systems. Proven track record leading solution ...

senior direct reports and developing strong leadership capability Driving engineering delivery, process quality, and technical standards Contributing to architectural decisions across distributed data systems, ML pipelines, and modern web applications Working closely with the C-suite on engineering strategy and org development Embedding AI-driven development workflows (70% of code … build of entirely greenfield products and systems . Key Requirements: Web teams Data engineering teams using distributed technologies (e.g., Spark) Data Science/ML teams Leadership experience over multi-discipline engineering teams Strong soft-skills leadership: coaching, clarity, communication Experience in high-growth, fast-changing environments A passion ...