cover image
55 Exec Search

55 Exec Search

www.55execsearch.com

2 Jobs

2 Employees

About the Company


55 Exec Search is a technology executive search company which has been founded to bring positive change to the industry. We have over 25 years experience providing an up front and honest service to both candidates and clients. We deliver the top talent to the best organisations globally. In today's climate we understand that the most exceptional candidates are unlikely to be actively job seeking, this is why we target the passive candidate community to ensure we provide the best talent in the market.
Our aim is to listen, give advice and ultimately deliver to your needs.

Listed Jobs

Company background Company brand
Company Name
55 Exec Search
Job Title
Senior Machine Learning Engineer
Job Description
**Job Title:** Senior Machine Learning Engineer **Role Summary:** Design, train, and deploy machine learning models for behavioral authentication systems, integrating real-world sensor and interaction data into scalable, production-ready AI solutions. **Expectations:** - Apply deep learning expertise to build predictive models for biometric authentication. - Optimize model performance and infrastructure for on-device execution and edge inference. - Collaborate with cross-functional teams to integrate AI into mobile platforms. **Key Responsibilities:** - Develop and evaluate deep learning models (e.g., transformers) for behavioral authentication using time-series and sensor data. - Build data pipelines for asynchronous sensor data (gyroscope, touch dynamics). - Conduct experiments to reduce authentication errors (FAR/FRR) using MLflow/ZenML. - Deploy models via CoreML/ONNX on edge devices and AWS cloud infrastructure. - Contribute to large-scale behavioral modeling architectures and training frameworks. **Required Skills:** - PyTorch for deep learning system development (beyond pre-trained models). - Time-series/human behavior data analysis from sensors or user interactions. - MLflow/ZenML for experiment tracking and reproducible workflows. - AWS (SageMaker) model deployment and cloud infrastructure. - Python proficiency with modern tools (e.g., uv for dependency management). **Required Education & Certifications:** - Bachelor’s/Master’s in Computer Science, Math, or related field. - PhD (desirable but not mandatory) in Machine Learning or Applied Mathematics. - Familiarity with behavioral biometrics, edge deployment, or self-supervised learning (preferred).
Manchester, United kingdom
Hybrid
Senior
26-01-2026
Company background Company brand
Company Name
55 Exec Search
Job Title
Azure Solutions Engineer (AKS)
Job Description
Job title: Azure Solutions Engineer (AKS) Role Summary: Provide end‑to‑end design and delivery of Azure/Kubernetes (AKS) solutions for public‑sector clients within a fast‑growing consultancy. Focus on secure, scalable cloud‑native workloads and progression toward a Solution Architect role. Expactations: • Own design, deployment and optimisation of production AKS clusters. • Deliver Azure‑based data and platform solutions that meet security and compliance requirements. • Communicate effectively with technical and non‑technical stakeholders and produce clear technical artefacts. • Take ownership of projects, demonstrate initiative and work independently. • Progress toward Azure & Kubernetes Solution Architect certification and leadership. • Participate in multiple client engagements, adapting to diverse technical and business contexts. Key Responsibilities: - Design Azure‑based data and platform solutions for government clients. - Deploy, operate, and continuously improve AKS clusters in production environments. - Build and support containerised workloads. - Implement DevOps practices and CI/CD pipelines. - Contribute to architectural decisions and take increasing ownership as experience grows. - Write high‑quality design documents, technical specifications, and other artefacts. - Stay up to date with emerging cloud, data, and DevOps technologies. - Engage directly with stakeholders to elicit requirements and shape solutions. Required Skills: - Commercial experience in data engineering, cloud engineering or platform engineering. - Strong expertise with Microsoft Azure and hands‑on Kubernetes (AKS preferred). - DevOps experience, including CI/CD pipeline design and implementation. - Coding proficiency in Python, SQL, or similar. - Experience working in secure or highly regulated environments. - Ability to work independently, take ownership and use initiative. - Excellent communication and stakeholder management. - Eligibility for UK Government Security Clearance (SC), continuous residence in the UK for 5+ years without sponsorship or visa. Required Education & Certifications: - Numerate or technical degree, NVQ Level 4, or equivalent professional experience. - Relevant Microsoft Azure certifications (e.g., AZ‑CSP, AZ‑400) preferred but not mandatory.
Manchester, United kingdom
Hybrid
03-02-2026