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Initialize IT

Initialize IT

www.initialize-it.com

8 Jobs

2 Employees

About the Company

IT Recruitment Company: Over 30 years experience placing high quality Contractors, Freelancers and Permanent Hires with our diverse range of Clients across the UK, the rest of europe and globally

Products:

Mobile Apps & Gaming: Android SDK, iphone SDK, Objective-C, Cocoa, J2ME, Blackberry SDK, Windows Mobile, Symbian, MeeGo
PC Development: VB.Net, ASP.Net, C#, Java, C++
Microsoft: SharePoint, BizTalk
ERP/CRM: SAP, MS Dynamics, Oracle, Agresso
Virtualisation: VMware, Hyper-V, XenServer, PlateSpin, Vizioncore, Virtuozzo
Web Development: Linux, Apache, MySQL, Perl, PHP, Python, Django, Ruby on Rails, Drupal, Silverlight
BI & BPM
RDBMS: Oracle, SQL Server, Sybase
Project Management, Business Analysts, Testers & Trainers
PC/UNIX/Linux/Network Support

Listed Jobs

Company background Company brand
Company Name
Initialize IT
Job Title
ML Engineers
Job Description
**Job Title** ML Engineer **Role Summary** Design, develop, and deploy production‑grade machine learning models and pipelines. Lead end‑to‑end MLOps workflows, maintain feature extraction, vector databases and knowledge graph systems, and collaborate with cross‑functional teams to translate business requirements into scalable ML solutions. **Expectations** - Minimum 10 years of professional experience in machine‑learning engineering. - Proficiency in English (C1 level); strong communication and Agile collaboration skills. - Deliver high‑availability pipelines, continuous integration and continuous deployment (CI/CD). - Provide technical mentorship to junior team members and participate in code reviews. **Key Responsibilities** - Architect and implement end‑to‑end ML/AI solutions using Python, SQL, and GCP services (Vertex AI, Dataflow). - Build and tune models for NLP tasks (NER, Retrieval‑Augmented Generation), integrating Pykeen and vector‑database technologies. - Create and maintain ETL/ELT workflows, ensuring data quality, lineage, and reproducibility. - Deploy models on Kubernetes (GKE) and Ray clusters; optimize GPU/CPU usage with CUDA and HPC techniques. - Develop and expose APIs for downstream consumption; manage feature stores and metadata. - Collaborate with data and product teams to define model metrics, A/B‑testing, and post‑deployment monitoring. - Implement security, compliance, and governance best practices for data and model artifacts. - Stay updated on emerging ML platforms, RDF/SPARQL technologies, and knowledge‑graph advancements. **Required Skills** - Programming: Python, SQL; experience with Pykeen, Ray, CUDA. - Cloud & DevOps: Google Cloud Platform, Vertex AI, Dataflow, GKE, CI/CD pipelines. - MLOps: model versioning, feature pipelines, automated monitoring, and rollback. - Data management: ETL/ELT, vector databases, RDF/SPARQL, knowledge‑graph construction. - Machine Learning: NLP (NER, RAG), large‑scale model training, inference optimization. - Soft skills: Agile methodology, stakeholder engagement, clear documentation, English fluency (C1). **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related discipline. - Professional certifications such as Google Professional Data Engineer, Google Cloud ML Engineer, or equivalent are highly desirable.
Uk, United kingdom
Remote
05-12-2025
Company background Company brand
Company Name
Initialize IT
Job Title
Cyber Security & Operation Telemetry (OT) - Solutions Architect
Job Description
**Job Title** Cyber Security & Operation Telemetry (OT) – Solutions Architect **Role Summary** Design, deliver, and govern secure, scalable, and resilient Operational Technology (OT) architectures across all OT initiatives. Lead architectural planning, ensure consistency with enterprise standards, and apply cybersecurity best practices to protect critical infrastructure. **Expectations** - Architect end‑to‑end OT solutions with a focus on security, availability, and compliance. - Translate business requirements into logical and physical designs that meet industry regulations. - Drive adoption of Zero Trust, encryption, hardening, and vulnerability management across OT systems. **Key Responsibilities** 1. Design and implement Encryption of Control Data in Transit (ECDT) for secure OT data flows. 2. Build and maintain Vulnerability Tracking & Remediation (VTR) frameworks. 3. Harden Human‑Machine Interfaces (HMIH) and engineer laptop security (ELH). 4. Implement Zero Trust (ZT) controls, including NAC/Q, NDR, and EDR. 5. Define and manage Supply Chain Passport Processes (SCPP). 6. Develop Data of Last Resort (DLR) automated and immutable backup solutions. 7. Document architecture deliverables (logical/physical designs, data lineage, integration maps). 8. Establish support models and enforce alignment with enterprise architecture, regulatory mandates, and cyber‑resilience principles. **Required Skills** - 5+ years cybersecurity experience; 2+ years in OT environments. - Deep expertise in OT convergence, network segmentation, and system hardening. - Proficiency with encryption (IPsec, TLS, SDWAN) and OT protocols (MQTT, DNP3, etc.). - Experience with MFA, Active Directory/EntraID integration. - Knowledge of IEC 62443, NIST 800 series, NIS‑D, and NCSC guidelines; Purdue model application. - Strong understanding of Zero Trust architecture, NAC, NDR, EDR, DLP, and secure data flows. - Ability to create and document vulnerability tracking, remediation, and audit frameworks. - Familiarity with cloud‑based security architecture, Azure DevOps, and SaaS platforms. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Electrical/Industrial Engineering, Cybersecurity, or related field. - Preferred certifications: CISSP, CISM, ISO 27001 Lead Implementer, or equivalent OT‑specific credentials.
Mostly, United kingdom
Remote
Mid level
09-01-2026
Company background Company brand
Company Name
Initialize IT
Job Title
Lead Data Scientist (AI)
Job Description
Job title: Lead Data Scientist (AI) Role Summary: Lead and manage a Data Science team to design, develop, and deploy AI solutions that drive business impact while ensuring rigorous quality assurance, ethical governance, and regulatory compliance. Expectations: Deliver high‑impact AI projects, maintain data science quality standards, lead cross‑functional collaboration, and translate technical insights into clear business outcomes. Key Responsibilities: - Lead, coach, and develop a multidisciplinary Data Science team. - Own end‑to‑end AI project lifecycle: conception, development, deployment, and post‑deployment monitoring. - Establish and enforce quality assurance frameworks for all Data Science deliverables. - Ensure AI projects adhere to ethical guidelines, governance policies, and regulatory requirements. - Act as primary liaison with business stakeholders, translating complex technical concepts into actionable insights. - Collaborate with Principal and Lead Data Scientists across sites to maintain consistency and alignment of AI initiatives. - Communicate performance metrics, risks, and outcomes to senior leadership. - Drive continuous improvement of data science methodologies and toolchains. Required Skills: - Advanced expertise in machine learning, optimisation, simulation, deep learning, and generative AI. - Strong foundation in mathematical theories underlying AI algorithms. - Proficiency in data science workflow: data preparation, model development, validation, deployment, and monitoring. - Experience with AI governance, ethical frameworks, and compliance. - Excellent communication skills for distilling technical content to non‑technical audiences. - Proven leadership and team‑building capabilities in cross‑functional environments. - Stakeholder engagement and relationship‑building expertise. - Commitment to responsible, transparent AI development and deployment. Required Education & Certifications: - PhD or Master’s degree in Data Science, Computer Science, Statistics, or a closely related discipline. - Relevant certifications in AI/ML (e.g., Certified Data Scientist, TensorFlow Developer, or equivalent) preferred.
Hounslow, United kingdom
Hybrid
Senior
19-01-2026
Company background Company brand
Company Name
Initialize IT
Job Title
Senior Product Manager
Job Description
**Job title:** Senior Product Manager **Role Summary** Own end‑to‑end product lifecycle for four AI‑enabled solutions, driving strategy, launch, adoption, and measurable business impact within a high‑velocity transformation environment. **Expectations** - Lead enterprise‑scale product initiatives focused on AI/ML operational optimization. - Influence and align cross‑functional leadership to secure consensus and resources. - Deliver accelerated ROI through productivity and cost‑savings metrics. - Communicate vision and performance to executive, engineering, and frontline stakeholders. **Key Responsibilities** - Define product vision, roadmap, and prioritisation for each AI solution. - Conduct market, customer, and competitive analysis to shape feature sets. - Collaborate with engineering, data science, and UX to deliver high‑quality releases. - Set and track KPIs, ensuring measurable value and adoption across the group. - Drive change management and adoption initiatives, overcoming resistance. - Present progress, risks, and results to executive sponsors and business units. - Continuously benchmark against industry standards to keep the suite leading. **Required Skills** - Proven product management experience (5+ years) in AI or complex enterprise technology. - Strong stakeholder influence and consensus‑building across business units. - Demonstrated ability to deliver outcomes in fast‑moving, transformation‑driven settings. - Deep understanding of AI/ML concepts and practical application to operational efficiency. - Excellent written and verbal communication, capable of engaging executives, engineers, and frontline staff. - Strategic thinking with focus on measurable ROI and cost optimisation. - Experience managing full product lifecycle from ideation to post‑launch performance. **Required Education & Certifications** - Bachelor’s (or Master’s) degree in Computer Science, Engineering, Business, or related field. - Certified Product Manager (e.g., AIPMM, Pragmatic Marketing, or similar) preferred.
Hybrid, United kingdom
Hybrid
Senior
19-01-2026